Triple

T10877273
Position Surface form Disambiguated ID Type / Status
Subject St Mary Magdalene Church, Pentney E256831 entity
Predicate locatedIn P40 FINISHED
Object Pentney E49535 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: Pentney | Statement: [St Mary Magdalene Church, Pentney, locatedIn, Pentney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pentney
Context triple: [St Mary Magdalene Church, Pentney, locatedIn, Pentney]
  • A. Pentney chosen
    Pentney is a small rural village in Norfolk, England, known for its historic priory remains and tranquil countryside setting.
  • B. Pennard
    Pennard is a coastal village in Swansea, Wales, known for its scenic cliffs, nearby beaches, and the ruins of medieval Pennard Castle overlooking Three Cliffs Bay.
  • C. Pyrton
    Pyrton is a small rural village and civil parish in Oxfordshire, England, known for its historic church and traditional English countryside setting.
  • D. Wallisdown
    Wallisdown is a suburban area of Bournemouth in Dorset, England, known for hosting higher education campuses and residential neighborhoods.
  • E. Poynton
    Poynton is a town in Cheshire, England, known for its former coal mining industry and distinctive shared-space central junction.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ad8cdc819093eafaf12fc23b15 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7dfd5d88190a26f707754411906 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.