Triple

T13119463
Position Surface form Disambiguated ID Type / Status
Subject Emma Woodhouse E311684 entity
Predicate fictionalParish P108139 FINISHED
Object Highbury E517113 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: Highbury | Statement: [Emma Woodhouse, fictionalParish, Highbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highbury
Context triple: [Emma Woodhouse, fictionalParish, 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 Corner
    Highbury Corner is a busy road junction and public space in the Highbury district of north London, near the Highbury & Islington transport hub.
  • E. Highbury Fields
    Highbury Fields is a large public park in the London Borough of Islington, known for its open green space, tree-lined paths, and recreational facilities.
  • 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: fictionalParish
Context triple: [Emma Woodhouse, fictionalParish, Highbury]
  • A. fictionalTownName
    Indicates that the entity is associated with the name of a town that exists only in fiction rather than in the real world.
  • B. fictionalConstituency
    Indicates that one entity is a fictional or imaginary electoral district or constituency associated with another entity.
  • C. fictionalBirthPlace
    Indicates the fictional location where a character or entity is described as having been born within a narrative or imagined context.
  • D. fictionalField
    Indicates that the subject is associated with a fictional or imaginary field, domain, or area rather than a real-world one.
  • E. fictionalTownFeatured
    Indicates that a fictional town is prominently depicted or serves as a key setting within a work or medium.
  • F. None of above. chosen

Provenance (5 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e286de608190bf46af2eb656bb79 completed May 3, 2026, 5:52 a.m.
PD Predicate disambiguation batch_69d98041a3548190a05ddd83dbb660fa completed April 10, 2026, 10:57 p.m.
PDg Predicate description generation batch_69d98134df64819084a5674f9475dcc2 completed April 10, 2026, 11:01 p.m.
Created at: April 9, 2026, 9:06 p.m.