Triple

T1265469
Position Surface form Disambiguated ID Type / Status
Subject Oxfordshire E12590 entity
Predicate contains P35 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: [Oxfordshire, contains, City of Oxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Oxford
Context triple: [Oxfordshire, contains, 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 small city in northeastern Alabama known for its location in the Anniston–Oxford metropolitan area and proximity to the Talladega National Forest.
  • C. City of Cambridge
    The City of Cambridge is a historic and culturally vibrant Massachusetts city known for its prestigious universities, diverse neighborhoods, and rich architectural heritage.
  • D. Oxford of the East
    "Oxford of the East" is a popular nickname for Pune, India, highlighting its status as a major educational and academic hub with numerous prestigious institutions.
  • E. Oxford City Council
    Oxford City Council is the local government authority responsible for providing municipal services and administration for the city of Oxford, England.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4c036deb881909b234894347c75c6 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99874f748190bfffe8fb5a649d11 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.