Triple

T20743604
Position Surface form Disambiguated ID Type / Status
Subject Jane Fairfax E510506 entity
Predicate fictionalResidence P7550 FINISHED
Object Highbury 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 | Statement: [Jane Fairfax, fictionalResidence, Highbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highbury
Context triple: [Jane Fairfax, fictionalResidence, Highbury]
  • 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
    Highbury is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Highbury chosen
    Highbury is the fictional English village that serves as the primary setting of Jane Austen’s novel "Emma."
  • D. Highbury
    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.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c210a2c08190bd767df3188bb401 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.