Triple

T2637583
Position Surface form Disambiguated ID Type / Status
Subject Penge Urban District E59784 entity
Predicate containsSettlement P847 FINISHED
Object Anerley E242793 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: Anerley | Statement: [Penge Urban District, containsSettlement, Anerley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anerley
Context triple: [Penge Urban District, containsSettlement, Anerley]
  • A. Anerley chosen
    Anerley is a suburban district in the London Borough of Bromley in south London, known for its residential character and local transport links.
  • 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. South Norwood
    South Norwood is a residential district in south London known for its diverse community, Victorian housing, and proximity to parks and transport links into central London.
  • D. Handsworth
    Handsworth is a suburban area of Birmingham, England, historically significant for its role in the Industrial Revolution and as the home of industrialist Matthew Boulton.
  • E. 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.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e3190081908ea828fe79569cc9 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b367e000dc8190baba64c6e8ccf308 completed March 13, 2026, 1:26 a.m.
Created at: March 6, 2026, 9:50 p.m.