Triple

T2465888
Position Surface form Disambiguated ID Type / Status
Subject Battersea E55245 entity
Predicate borders P224 FINISHED
Object Clapham E32062 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: Clapham | Statement: [Battersea, borders, Clapham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clapham
Context triple: [Battersea, borders, Clapham]
  • A. Clapham chosen
    Clapham is a district in south-west London, England, known historically as a residential suburb and for its large common and Georgian architecture.
  • B. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • C. West Brompton
    West Brompton is a residential district in West London known for its mix of Victorian architecture, local amenities, and its well-connected railway and Underground station.
  • D. Hammersmith
    Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
  • E. St John’s Wood
    St John’s Wood is an affluent residential district in northwest London, known for its tree-lined streets, elegant villas, and landmarks such as Lord’s Cricket Ground and Abbey Road.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd122db8881909ef3c0a1df7ff7a5 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055a71200819095c2a5481c61deb5 completed March 10, 2026, 5:32 p.m.
Created at: March 6, 2026, 9:44 p.m.