Triple

T16661637
Position Surface form Disambiguated ID Type / Status
Subject Barnet F.C. E404873 entity
Predicate shortName P43 FINISHED
Object Barnet E626105 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: Barnet | Statement: [Barnet F.C., shortName, Barnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnet
Context triple: [Barnet F.C., shortName, Barnet]
  • A. Barnet chosen
    Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
  • B. Barnet and Camden
    Barnet and Camden is a London Assembly constituency that elects a representative to the Greater London Authority, covering the north London boroughs of Barnet and Camden.
  • C. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • D. Haringey
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • E. Hillingdon
    Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfee5448190bb44c4dadba5dcbd completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a544bcc081908db3128bc107e5dc completed May 16, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:18 a.m.