Triple
T7887462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corrective Optics Space Telescope Axial Replacement |
E183138
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
COSTAR
COSTAR was a corrective optics instrument installed on the Hubble Space Telescope to compensate for its primary mirror flaw and restore sharp imaging performance.
|
E701257
|
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: COSTAR | Statement: [Corrective Optics Space Telescope Axial Replacement, abbreviation, COSTAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COSTAR Context triple: [Corrective Optics Space Telescope Axial Replacement, abbreviation, COSTAR]
-
A.
CoST
CoST is the College of Science and Technology at North Carolina A&T State University, offering undergraduate and graduate programs in scientific and technological disciplines.
-
B.
Costi
Costi is a common Romanian diminutive form of the male given name Constantin.
-
C.
COS
COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
-
D.
COS
COS is a Hubble Space Telescope instrument designed to study the origins and evolution of the universe by analyzing the ultraviolet light from distant astronomical objects.
-
E.
COS
COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
- 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: COSTAR Triple: [Corrective Optics Space Telescope Axial Replacement, abbreviation, COSTAR]
Generated description
COSTAR was a corrective optics instrument installed on the Hubble Space Telescope to compensate for its primary mirror flaw and restore sharp imaging performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COSTAR Target entity description: COSTAR was a corrective optics instrument installed on the Hubble Space Telescope to compensate for its primary mirror flaw and restore sharp imaging performance.
-
A.
CoST
CoST is the College of Science and Technology at North Carolina A&T State University, offering undergraduate and graduate programs in scientific and technological disciplines.
-
B.
Costi
Costi is a common Romanian diminutive form of the male given name Constantin.
-
C.
COS
COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
-
D.
COS
COS is a Hubble Space Telescope instrument designed to study the origins and evolution of the universe by analyzing the ultraviolet light from distant astronomical objects.
-
E.
COS
COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d97460819089e37169813af5c2 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b98f9b88190b25b5c23a9ae9ced |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7631d10881908e3c7dacb98520cd |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf847f3c819092d690d8d65f6d60 |
completed | March 31, 2026, 12:35 p.m. |
Created at: March 30, 2026, 4:59 p.m.