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.