Triple
T11000266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus laboratory |
E259985
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
ESA
ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, satellite development, and scientific research on behalf of its European member states.
|
E824664
|
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: ESA | Statement: [Columbus laboratory, operator, ESA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESA Context triple: [Columbus laboratory, operator, ESA]
-
A.
ESA
ESA is a major professional organization dedicated to advancing the science and practice of ecology.
-
B.
ESA
ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
-
C.
ESA
ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
-
D.
ESA
ESA is a landmark U.S. environmental law that provides for the conservation and protection of threatened and endangered plant and animal species and their habitats.
-
E.
ESA
ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
- 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: ESA Triple: [Columbus laboratory, operator, ESA]
Generated description
ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, satellite development, and scientific research on behalf of its European member states.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESA Target entity description: ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, satellite development, and scientific research on behalf of its European member states.
-
A.
ESA
chosen
ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, science, and technology development on behalf of its European member states.
-
B.
ESA
ESA is a major professional organization dedicated to advancing the science and practice of ecology.
-
C.
ESA
ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
-
D.
ESA
ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
-
E.
ESA
ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
- F. None of above.
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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d5457c819096630246fa5f7076 |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374762c748190a8c83f3d6fa7b1d3 |
completed | April 18, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:25 p.m.