Triple

T15476671
Position Surface form Disambiguated ID Type / Status
Subject Belgravia E376796 entity
Predicate hasPart P35 FINISHED
Object Chester Square E463829 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: Chester Square | Statement: [Belgravia, hasPart, Chester Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester Square
Context triple: [Belgravia, hasPart, Chester Square]
  • A. Chester Square chosen
    Chester Square is an exclusive residential garden square in the affluent Belgravia district of central London, known for its elegant terraces and private communal gardens.
  • B. Chesterfield Square
    Chesterfield Square is a residential neighborhood in the South Los Angeles region of Los Angeles, California, known for its urban character and community-focused revitalization efforts.
  • C. Lechmere Square
    Lechmere Square is a major commercial and transit hub in Cambridge, Massachusetts, known for its shopping center and as a key stop on the MBTA Green Line.
  • D. Havelock Square
    Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
  • E. Norfolk Square
    Norfolk Square is a central public square and gathering place in the town of Glossop in Derbyshire, England.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4448c08190ac640642cc8fc41f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:34 a.m.