Triple

T1999339
Position Surface form Disambiguated ID Type / Status
Subject St Wilfrid's Church, Standish E43428 entity
Predicate locatedIn P40 FINISHED
Object Standish E43428 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: Standish | Statement: [St Wilfrid's Church, Standish, locatedIn, Standish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standish
Context triple: [St Wilfrid's Church, Standish, locatedIn, Standish]
  • A. Standish chosen
    Standish is a village in Lancashire, England, known for its historic parish church and traditional English character.
  • B. Brainerd
    Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
  • C. Woodbury
    Woodbury is a master-planned residential village within the city of Irvine, California, known for its organized neighborhoods, parks, and community amenities.
  • D. Killingworth
    Killingworth is a village in North Tyneside, England, historically notable for its early coal mining and railway engineering associations.
  • E. Granton
    Granton is a coastal district in the north of Edinburgh, Scotland, historically associated with its harbour and maritime industry.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb87dc8d08190907a6579c2b26d01 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae034122ec819096a72685b34c84b9 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.