Triple

T2565762
Position Surface form Disambiguated ID Type / Status
Subject Sheldonian Theatre E57346 entity
Predicate locatedIn P40 FINISHED
Object City of Oxford E19137 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: City of Oxford | Statement: [Sheldonian Theatre, locatedIn, City of Oxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Oxford
Context triple: [Sheldonian Theatre, locatedIn, City of Oxford]
  • A. Oxford chosen
    Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
  • B. Oxford
    Oxford is a federal electoral district in Ontario, Canada, represented in the House of Commons.
  • C. Oxford
    Oxford is a small city in northeastern Alabama known for its location in the Anniston–Oxford metropolitan area and proximity to the Talladega National Forest.
  • D. North Oxford
    North Oxford is a largely affluent, leafy suburban area of Oxford, England, known for its Victorian and Edwardian architecture, academic residents, and proximity to the University of Oxford.
  • E. Oxford Campus
    Oxford Campus is Emory University’s historic, small liberal-arts campus located in Oxford, Georgia, known for its intimate learning environment and early undergraduate experience.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35ef22c8190966612cc75f69eca completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6562d6f08190a2be483b06a789cc completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.