Triple

T13030276
Position Surface form Disambiguated ID Type / Status
Subject St Mary the Blessed Virgin Church, Woodnesborough E326417 entity
Predicate locatedIn P40 FINISHED
Object Woodnesborough E326417 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: Woodnesborough | Statement: [St Mary the Blessed Virgin Church, Woodnesborough, locatedIn, Woodnesborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodnesborough
Context triple: [St Mary the Blessed Virgin Church, Woodnesborough, locatedIn, Woodnesborough]
  • A. Woodnesborough chosen
    Woodnesborough is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • B. Crowborough
    Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
  • C. Narborough
    Narborough is a village in Leicestershire, England, known as a suburban commuter settlement near Leicester with historical roots and local amenities.
  • D. Narborough
    Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
  • E. Rainsborough
    Rainsborough is an English surname historically associated with notable figures in politics and the military.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efd18308190877b3269403b36e2 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcd25108190a6c4a129cde81534 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:54 p.m.