Triple

T5554589
Position Surface form Disambiguated ID Type / Status
Subject Woolwich Arsenal railway station E145606 entity
Predicate servesArea P82 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: [Woolwich Arsenal railway station, servesArea, Woolwich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woolwich
Context triple: [Woolwich Arsenal railway station, servesArea, 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. Greenwich and Woolwich
    Greenwich and Woolwich is a UK parliamentary constituency in southeast London that covers the historic riverside districts of Greenwich and Woolwich.
  • C. Enfield
    Enfield is a small rural town located in Tompkins County in the Finger Lakes region of New York State.
  • D. Enfield
    Enfield is a historic town in north London that developed from a Middlesex market settlement into a major suburban and commercial center.
  • E. Aldershot
    Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffaf4fc8190bf27014d21954a70 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059e7636c819082cc18b1913c08c9 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:36 p.m.