Triple

T7182034
Position Surface form Disambiguated ID Type / Status
Subject Roger Sherman Loomis E167470 entity
Predicate placeOfDeath P21 FINISHED
Object Enfield E144753 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: Enfield | Statement: [Roger Sherman Loomis, placeOfDeath, Enfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enfield
Context triple: [Roger Sherman Loomis, placeOfDeath, Enfield]
  • A. Enfield chosen
    Enfield is a small rural town located in Tompkins County in the Finger Lakes region of New York State.
  • 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. Woolwich
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • D. Woolwich
    Woolwich is a largely rural township in Ontario, Canada, known for its farming communities, Mennonite heritage, and small towns such as Elmira and St. Jacobs.
  • E. Stanmore
    Stanmore is a suburban district in the London Borough of Harrow, England, known for its residential character and historical connections, including former Royal Air Force sites.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bc25088190a7d7f3ba2461b5e9 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf8d76ac8190a2e29f2650e7af28 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:49 p.m.