Triple

T8912387
Position Surface form Disambiguated ID Type / Status
Subject East Finchley E212214 entity
Predicate hasLondonBorough P69979 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: [East Finchley, hasLondonBorough, Barnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnet
Context triple: [East Finchley, hasLondonBorough, 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. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • C. Haringey
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • D. 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.
  • E. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6525d1408190a76522d7c4ac37da completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2693f054081909fe58a252bd76226 completed April 5, 2026, 1:53 p.m.
Created at: March 30, 2026, 6:56 p.m.