Triple

T3834733
Position Surface form Disambiguated ID Type / Status
Subject South East London E91099 entity
Predicate contains P35 FINISHED
Object Woolwich town centre E25583 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: Woolwich town centre | Statement: [South East London, contains, Woolwich town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woolwich town centre
Context triple: [South East London, contains, Woolwich town centre]
  • A. Woolwich chosen
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • B. Woolwich Town Hall
    Woolwich Town Hall is a historic municipal building in Woolwich, London, known for its distinctive Edwardian Baroque architecture and role as the local seat of government.
  • C. Enfield
    Enfield is a historic town in north London that developed from a Middlesex market settlement into a major suburban and commercial center.
  • D. Enfield
    Enfield is a small rural town located in Tompkins County in the Finger Lakes region of New York State.
  • E. Greenwich town centre
    Greenwich town centre is the historic commercial and cultural heart of Greenwich in southeast London, known for its markets, shops, and proximity to major maritime and royal landmarks.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8a27688190866bc41441e2260c completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512259d048190be25add7e38a0326 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:18 p.m.