Triple

T21710302
Position Surface form Disambiguated ID Type / Status
Subject Gaius E535884 entity
Predicate shortForm P43 FINISHED
Object C. NE NERFINISHED

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: C. | Statement: [Gaius, shortForm, C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C.
Context triple: [Gaius, shortForm, C.]
  • A. C. chosen
    C. is the initial of the given name of C. Robert Kehler, a retired United States Air Force general who formerly commanded U.S. Strategic Command.
  • B. C2
    C2 is the software consultancy founded by Ward Cunningham, best known for creating the first wiki and contributing to agile software development practices.
  • C. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • D. C-2
    C-2 is a commuter rail line within the Seville metropolitan area’s Cercanías network, providing regional passenger train services between the city and its surrounding suburbs.
  • E. C3
    C3 is the route designation for the Tokyo Gaikan Expressway, a major orbital expressway forming part of the ring road system around Tokyo, Japan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb5333c8481909d729fb3bc3c9bc5 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.