Triple

T2979313
Position Surface form Disambiguated ID Type / Status
Subject Nevada System of Higher Education E80472 entity
Predicate shortName P43 FINISHED
Object NSHE
NSHE is the public higher education system that oversees Nevada’s state universities, colleges, and research institutions.
 E317249 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: NSHE | Statement: [Nevada System of Higher Education, shortName, NSHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NSHE
Context triple: [Nevada System of Higher Education, shortName, NSHE]
  • A. NSH
    NSH is the standard NHL abbreviation for the Nashville Predators hockey team.
  • B. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • C. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • D. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • E. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • 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: NSHE
Triple: [Nevada System of Higher Education, shortName, NSHE]
Generated description
NSHE is the public higher education system that oversees Nevada’s state universities, colleges, and research institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NSHE
Target entity description: NSHE is the public higher education system that oversees Nevada’s state universities, colleges, and research institutions.
  • A. NSH
    NSH is the standard NHL abbreviation for the Nashville Predators hockey team.
  • B. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • C. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • D. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • E. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ef607c8190865b079beb1b6da5 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10bc71c708190b1e620d41278c3e0 completed March 11, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69b10c43a7c48190b63a7b3f0f180d44 completed March 11, 2026, 6:31 a.m.
Created at: March 8, 2026, 2:58 p.m.