Triple

T19956895
Position Surface form Disambiguated ID Type / Status
Subject Quarterbridge E479706 entity
Predicate partOf P40 FINISHED
Object TT Course 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: TT Course | Statement: [Quarterbridge, partOf, TT Course]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TT Course
Context triple: [Quarterbridge, partOf, TT Course]
  • A. TT Course chosen
    TT Course is the famous Isle of Man road racing circuit used for the annual Isle of Man TT motorcycle races.
  • B. NTCC
    NTCC is the abbreviated name of the New Taipei City Council, the legislative body governing New Taipei City in Taiwan.
  • C. Tollbar Academy
    Tollbar Academy is a large secondary school and sixth form in New Waltham, North East Lincolnshire, known for its strong academic performance and academy status within the local education trust.
  • D. Wee Course
    Wee Course is a shorter, typically nine-hole layout at Blairgowrie Golf Club in Scotland, designed to offer a more accessible and relaxed golfing experience.
  • E. CTEA
    CTEA is the commonly used acronym for the Sonny Bono Copyright Term Extension Act, a U.S. law that lengthened the duration of copyright protection.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af08e008190a3a1b807b638a99e completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.