Triple

T18045869
Position Surface form Disambiguated ID Type / Status
Subject St Martin’s E431771 entity
Predicate hasSettlement P1068 FINISHED
Object Middle Town NE NERFINISHED

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: Middle Town | Statement: [St Martin’s, hasSettlement, Middle Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Town
Context triple: [St Martin’s, hasSettlement, Middle Town]
  • A. Middle Town chosen
    Middle Town is a small settlement on the Isles of Scilly, England, situated on the island of St Agnes.
  • B. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • C. Plainville
    Plainville is a small suburban town in central Connecticut, known for its residential character and proximity to the city of Hartford.
  • D. Rivertown
    Rivertown is a historic-themed district in Kenner, Louisiana, featuring museums, cultural attractions, and riverfront entertainment.
  • E. Middlestown
    Middlestown is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.