Triple

T1696853
Position Surface form Disambiguated ID Type / Status
Subject Thames Barrier E36676 entity
Predicate near P350 FINISHED
Object Woolwich 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 | Statement: [Thames Barrier, near, Woolwich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woolwich
Context triple: [Thames Barrier, near, Woolwich]
  • A. Woolwich chosen
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • B. Enfield
    Enfield is a historic town in north London that developed from a Middlesex market settlement into a major suburban and commercial center.
  • C. Enfield
    Enfield is a small rural town located in Tompkins County in the Finger Lakes region of New York State.
  • D. Aldershot
    Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
  • E. Battersea
    Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b78d20819096f0602058c46d8a completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5bc1db881908e859dbde2ea2d98 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.