Triple

T20994580
Position Surface form Disambiguated ID Type / Status
Subject Highbury E517113 entity
Predicate hasPlace P7849 FINISHED
Object Highbury village 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: Highbury village | Statement: [Highbury, hasPlace, Highbury village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highbury village
Context triple: [Highbury, hasPlace, Highbury village]
  • A. Highbury
    Highbury was Arsenal Football Club’s historic North London stadium, renowned for its Art Deco design and intimate atmosphere before the club’s move to the Emirates Stadium.
  • B. Highbury chosen
    Highbury is a district in North London, England, known historically as a middle-class residential area and for being the former home of Arsenal Football Club’s stadium.
  • C. Highbury
    Highbury is a residential suburb located within the city of Palmerston North in New Zealand.
  • D. Highbury
    Highbury is the fictional English village that serves as the primary setting of Jane Austen’s novel "Emma."
  • E. Highbury Corner
    Highbury Corner is a busy road junction and public space in the Highbury district of north London, near the Highbury & Islington transport hub.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1e75188190a97114238ea0b4f9 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.