Triple

T19833763
Position Surface form Disambiguated ID Type / Status
Subject Gateshead F.C. E476529 entity
Predicate shortName P43 FINISHED
Object Gateshead 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: Gateshead | Statement: [Gateshead F.C., shortName, Gateshead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gateshead
Context triple: [Gateshead F.C., shortName, Gateshead]
  • A. Gateshead chosen
    Gateshead is a large town in northeast England, situated on the southern bank of the River Tyne opposite Newcastle upon Tyne, known for its modern architecture and cultural venues.
  • B. Gateshead
    Gateshead is a residential suburb in the City of Lake Macquarie, near Newcastle in New South Wales, Australia.
  • C. Wallsend
    Wallsend is a town in North Tyneside, England, historically significant as the eastern terminus of Hadrian’s Wall and site of the Segedunum Roman Fort.
  • D. Wallsend
    Wallsend is an electoral district in the New South Wales Legislative Assembly, representing a suburban area in the city of Newcastle, Australia.
  • E. Washington, Tyne and Wear
    Washington, Tyne and Wear is a town in North East England that forms part of the City of Sunderland and is historically associated with the ancestors of U.S. President George Washington.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0347c8190b586c7fe01b61e97 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.