Triple

T3813405
Position Surface form Disambiguated ID Type / Status
Subject College of Science (Northeastern University) E84189 entity
Predicate hasAbbreviation P43 FINISHED
Object COS
COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
 E391720 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: [College of Science (Northeastern University), hasAbbreviation, COS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COS
Context triple: [College of Science (Northeastern University), hasAbbreviation, COS]
  • 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. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • D. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • E. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • 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: [College of Science (Northeastern University), hasAbbreviation, COS]
Generated description
COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COS
Target entity description: COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • 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. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • D. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • E. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8dd315481908bef595b56a4f0cb completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb3ddc1481909fd4a8befb8ece17 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fbd93b1481909f89d807ef870aa7 completed March 14, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_69b4ffc51bc08190aef4548a351b5604 completed March 14, 2026, 6:27 a.m.
Created at: March 9, 2026, 3:17 p.m.