Triple

T11578267
Position Surface form Disambiguated ID Type / Status
Subject Barnet Fair E274559 entity
Predicate shortenedForm P99168 FINISHED
Object Barnet E626105 NE FINISHED

How this triple was built (3 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 Fair, shortenedForm, Barnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnet
Context triple: [Barnet Fair, shortenedForm, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shortenedForm
Context triple: [Barnet Fair, shortenedForm, Barnet]
  • A. shortFormType
    Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
  • B. shortFormat
    Indicates that something is presented in a condensed or abbreviated form compared to its full or standard representation.
  • C. abbreviationOrShortForm chosen
    Indicates that one term is an abbreviation or shortened form of another term.
  • D. shortFormLanguage
    Indicates that one entity is a shortened or abbreviated language representation or code corresponding to another language entity.
  • E. wasShortened
    Indicates that something has been made shorter in length, duration, or extent compared to its original form.
  • F. None of above.

Provenance (4 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f75d756bd08190a79adc9a2e6188ed completed May 3, 2026, 2:36 p.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.