Triple

T7368347
Position Surface form Disambiguated ID Type / Status
Subject Denmark Hill E169926 entity
Predicate near P350 FINISHED
Object Brixton E227039 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: Brixton | Statement: [Denmark Hill, near, Brixton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brixton
Context triple: [Denmark Hill, near, Brixton]
  • A. Brixton chosen
    Brixton is a vibrant district in south London known for its multicultural community, lively markets, music scene, and significant role in Black British culture.
  • B. Peckham
    Peckham is a vibrant, multicultural district in south London known for its lively arts scene, markets, and diverse community.
  • C. Lambeth
    Lambeth is a central London borough on the south bank of the River Thames, known for landmarks such as the London Eye and its diverse urban communities.
  • D. Southwark
    Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f17fe278819094eb1dd886583c6a completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e56e62d48190b0e25464ebffe148 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 3:07 p.m.