Triple

T18254569
Position Surface form Disambiguated ID Type / Status
Subject Center for Open Science E437190 entity
Predicate shortName P43 FINISHED
Object COS
COS is the commonly used abbreviation for the Center for Open Science, a nonprofit organization dedicated to improving openness, integrity, and reproducibility in scientific research.
 E1314106 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: COS | Statement: [Center for Open Science, shortName, COS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COS
Context triple: [Center for Open Science, shortName, COS]
  • A. COS
    COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
  • B. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • C. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • D. COS
    COS is a contemporary fashion brand known for its minimalist, modern designs and high-quality wardrobe essentials.
  • E. 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.
  • 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: COS
Triple: [Center for Open Science, shortName, COS]
Generated description
COS is the commonly used abbreviation for the Center for Open Science, a nonprofit organization dedicated to improving openness, integrity, and reproducibility in scientific research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COS
Target entity description: COS is the commonly used abbreviation for the Center for Open Science, a nonprofit organization dedicated to improving openness, integrity, and reproducibility in scientific research.
  • A. 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.
  • B. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • C. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • D. COS
    COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
  • E. COS
    COS is a contemporary fashion brand known for its minimalist, modern designs and high-quality wardrobe essentials.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd84b3a481908bbc1a5e5034d397 completed April 19, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac79bc7881909794d5f563ab0552 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad3be75c819080f57a24747ec55f completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03aede6ea481908bb9acdb2ff17e9a completed May 12, 2026, 10:51 p.m.
Created at: April 10, 2026, 10:33 a.m.