Triple

T17052140
Position Surface form Disambiguated ID Type / Status
Subject City Centre campus E413722 entity
Predicate locatedInArea P40 FINISHED
Object York city centre E240897 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: York city centre | Statement: [City Centre campus, locatedInArea, York city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: York city centre
Context triple: [City Centre campus, locatedInArea, York city centre]
  • A. York city centre chosen
    York city centre is the historic core of the city of York in North Yorkshire, England, known for its medieval walls, narrow streets, and landmarks such as York Minster.
  • B. City Center
    City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
  • C. Chelsea, Manhattan
    Chelsea, Manhattan is a historic neighborhood on Manhattan’s West Side in New York City, known for its art galleries, diverse community, and mix of residential and commercial spaces.
  • D. City Centre
    City Centre is the central commercial and cultural district of Cambridge, known for its historic university buildings, shops, and public spaces.
  • E. City Centre
    City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa3324881908d9e445ba1cfe109 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.