Triple
T15795714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA technology readiness level framework |
E382971
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
European Space Agency technology readiness level framework
The European Space Agency technology readiness level framework is a standardized scale used by ESA to assess and communicate the maturity of space technologies from initial concept through to flight-proven systems.
|
E1176720
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: European Space Agency technology readiness level framework | Statement: [NASA technology readiness level framework, influenced, European Space Agency technology readiness level framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: European Space Agency technology readiness level framework Context triple: [NASA technology readiness level framework, influenced, European Space Agency technology readiness level framework]
-
A.
NASA technology readiness level framework
The NASA technology readiness level framework is a standardized scale used by NASA to assess and communicate the maturity of technologies from initial concept through to spaceflight-ready implementation.
-
B.
DLR integration and test facilities
DLR integration and test facilities are specialized German Aerospace Center laboratories and infrastructure used for assembling, integrating, and testing aerospace systems and satellites.
-
C.
Integrated Assessment and Selection Panels for senior mission leadership
Integrated Assessment and Selection Panels for senior mission leadership are specialized UN review bodies that evaluate and recommend candidates for top field leadership roles in peace operations and other senior missions.
-
D.
INCOSE Systems Engineering Handbook
The INCOSE Systems Engineering Handbook is a comprehensive reference guide that defines best practices, processes, and principles for the application of systems engineering across the entire system life cycle.
-
E.
National Security Space Architecture
The National Security Space Architecture is an integrated framework for designing, coordinating, and operating U.S. national security space systems to ensure resilient, effective support to military and intelligence missions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: European Space Agency technology readiness level framework Triple: [NASA technology readiness level framework, influenced, European Space Agency technology readiness level framework]
Generated description
The European Space Agency technology readiness level framework is a standardized scale used by ESA to assess and communicate the maturity of space technologies from initial concept through to flight-proven systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: European Space Agency technology readiness level framework Target entity description: The European Space Agency technology readiness level framework is a standardized scale used by ESA to assess and communicate the maturity of space technologies from initial concept through to flight-proven systems.
-
A.
NASA technology readiness level framework
The NASA technology readiness level framework is a standardized scale used by NASA to assess and communicate the maturity of technologies from initial concept through to spaceflight-ready implementation.
-
B.
DLR integration and test facilities
DLR integration and test facilities are specialized German Aerospace Center laboratories and infrastructure used for assembling, integrating, and testing aerospace systems and satellites.
-
C.
Integrated Assessment and Selection Panels for senior mission leadership
Integrated Assessment and Selection Panels for senior mission leadership are specialized UN review bodies that evaluate and recommend candidates for top field leadership roles in peace operations and other senior missions.
-
D.
INCOSE Systems Engineering Handbook
The INCOSE Systems Engineering Handbook is a comprehensive reference guide that defines best practices, processes, and principles for the application of systems engineering across the entire system life cycle.
-
E.
National Security Space Architecture
The National Security Space Architecture is an integrated framework for designing, coordinating, and operating U.S. national security space systems to ensure resilient, effective support to military and intelligence missions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90aea81c8190ad8bc0cdedf4b77a |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff93b24828819092841bc02059995d |
completed | May 9, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9435b800819093985b293a541e46 |
completed | May 9, 2026, 8:08 p.m. |
Created at: April 10, 2026, 4:48 a.m.