Triple

T7136641
Position Surface form Disambiguated ID Type / Status
Subject Matthew Prior E166321 entity
Predicate placeOfBirth P1 FINISHED
Object Wimborne Minster E349046 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: Wimborne Minster | Statement: [Matthew Prior, placeOfBirth, Wimborne Minster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimborne Minster
Context triple: [Matthew Prior, placeOfBirth, Wimborne Minster]
  • A. Wimborne Minster chosen
    Wimborne Minster is a historic market town in Dorset, England, noted for its medieval minster church and traditional English character.
  • B. Sherborne
    Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
  • C. Sherborne
    Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
  • D. Minster
    Minster is a coastal town and civil parish on the Isle of Sheppey in Kent, England, known for its historic abbey and seaside character.
  • E. Minster
    Minster is a village and civil parish in the Thanet district of Kent, England, known for its historic abbey and traditional rural character.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6926d748190bc8c150fc1860531 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a348a748819082f87039ea79f251 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.