Triple

T6963398
Position Surface form Disambiguated ID Type / Status
Subject Catford Loop Line E161426 entity
Predicate passesThrough P225 FINISHED
Object Peckham E164254 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: Peckham | Statement: [Catford Loop Line, passesThrough, Peckham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peckham
Context triple: [Catford Loop Line, passesThrough, Peckham]
  • A. Peckham chosen
    Peckham is a vibrant, multicultural district in south London known for its lively arts scene, markets, and diverse community.
  • B. Brixton
    Brixton is a vibrant district in south London known for its multicultural community, lively markets, music scene, and significant role in Black British culture.
  • C. Crouch End
    Crouch End is a leafy, affluent residential district in north London known for its village-like atmosphere, independent shops, and vibrant arts and café culture.
  • D. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • E. Southall
    Southall is a suburban district in West London, England, known for its large South Asian community and vibrant multicultural atmosphere.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf197b0819085bd0433c8a7f716 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83423e5008190881a7e956c716687 completed March 28, 2026, 8:03 p.m.
Created at: March 27, 2026, 2:30 p.m.