Triple

T20132266
Position Surface form Disambiguated ID Type / Status
Subject Apollo Oxford E490924 entity
Predicate alsoKnownAs P39 FINISHED
Object Oxford Apollo 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: Oxford Apollo | Statement: [Apollo Oxford, alsoKnownAs, Oxford Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford Apollo
Context triple: [Apollo Oxford, alsoKnownAs, Oxford Apollo]
  • A. Apollo Oxford chosen
    Apollo Oxford was the former name of a prominent theatre and live entertainment venue in Oxford, England.
  • B. Oriel
    Oriel is the commonly used short name for Oriel College, one of the constituent colleges of the University of Oxford.
  • C. Oriel
    Oriel is a surname most notably associated with Jane Elizabeth Ebsworth Oriel, the late wife of British naturalist and broadcaster David Attenborough.
  • D. Oxford Center
    Oxford Center is a historic village and civic hub within the town of Oxford, Connecticut, known for its traditional New England character.
  • E. Bodley
    Bodley is an English surname most famously associated with Sir Thomas Bodley, the founder of Oxford’s Bodleian Library.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66762f0448190b7dbbc665e179ffc completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.