Triple

T17615683
Position Surface form Disambiguated ID Type / Status
Subject Earlsfield E429075 entity
Predicate hasNeighbour P5707 FINISHED
Object Tooting 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: Tooting | Statement: [Earlsfield, hasNeighbour, Tooting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tooting
Context triple: [Earlsfield, hasNeighbour, Tooting]
  • A. Tooting chosen
    Tooting is a vibrant residential district in South London known for its multicultural community, bustling high street, and popular food and market scene.
  • B. Tooting Commons
    Tooting Commons is a large area of public open space in south London known for its woodlands, playing fields, and the popular Tooting Bec Lido.
  • C. Balham
    Balham is a residential district in south London, England, known for its vibrant high street, diverse community, and convenient transport links into central London.
  • D. Brimsdown
    Brimsdown is a suburban area in the London Borough of Enfield, known for its railway station on the line between London Liverpool Street and Hertford East and its mix of residential and industrial zones.
  • E. Hendon
    Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.