Triple

T8920467
Position Surface form Disambiguated ID Type / Status
Subject Kingston Bagpuize E212400 entity
Predicate near P350 FINISHED
Object Southmoor E554576 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: Southmoor | Statement: [Kingston Bagpuize, near, Southmoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southmoor
Context triple: [Kingston Bagpuize, near, Southmoor]
  • A. Nortmoor
    Nortmoor is a small municipality in the Leer district of Lower Saxony, Germany.
  • B. Northmoor chosen
    Northmoor is a small rural village and civil parish in Oxfordshire, England, situated near the River Thames.
  • C. Holymoorside
    Holymoorside is a rural village in Derbyshire, England, known for its scenic countryside setting on the edge of the Peak District.
  • D. Maiden Moor
    Maiden Moor is a prominent fell in England’s Lake District, overlooking Derwentwater and popular with hikers for its scenic ridge walks and panoramic views.
  • E. Carlton Moor
    Carlton Moor is a prominent hilltop in the Cleveland Hills of North Yorkshire, England, known for its expansive moorland scenery and panoramic views over the surrounding countryside.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc664f099c8190be6d20a4574212ca completed April 1, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4f094c81909a30d3be640ac9e0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.