Triple

T552988
Position Surface form Disambiguated ID Type / Status
Subject 5 train E11881 entity
Predicate division P889 FINISHED
Object IRT E63229 NE FINISHED

How this triple was built (2 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: IRT | Statement: [5 train, division, IRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IRT
Context triple: [5 train, division, IRT]
  • A. IRT chosen
    IRT is a major division of the New York City Subway system that operates the numbered (1–7) train lines, originally built by the Interborough Rapid Transit Company.
  • B. It
    It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
  • C. IRTF
    The Internet Research Task Force (IRTF) is an organization that promotes long-term research related to the evolution and future of the Internet.
  • D. IRU
    IRU is the abbreviation for the International Romani Union, a global organization representing the interests and rights of Romani people.
  • E. IS
    IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991b296481908cf27e1d1ec67052 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e632e7c48190b211f7fcc4903dea completed March 2, 2026, 1:21 a.m.
Created at: March 1, 2026, 7:32 p.m.