Triple

T16924751
Position Surface form Disambiguated ID Type / Status
Subject Middle Barton School E410539 entity
Predicate locatedIn P40 FINISHED
Object Middle Barton E86364 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: Middle Barton | Statement: [Middle Barton School, locatedIn, Middle Barton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Barton
Context triple: [Middle Barton School, locatedIn, Middle Barton]
  • A. Middle Barton chosen
    Middle Barton is a small rural village in the civil parish of Steeple Barton in West Oxfordshire, England.
  • B. Honeybourne
    Honeybourne is a rural village and civil parish in Worcestershire, England, known for its historic character and role as a local commuter hub with a railway station.
  • C. Partridge Green
    Partridge Green is a village in West Sussex, England, known for its rural character and location within the Horsham District.
  • D. Mrs Brown
    Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
  • E. The Stretford Wives
    The Stretford Wives is a British television drama best known for featuring actress Lesley Sharp in a leading role.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf1347c819085cf754a0c3e19ed completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd8a88c8190adda386b62fe543c completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.