Triple

T12743471
Position Surface form Disambiguated ID Type / Status
Subject Tyneside urban area E304544 entity
Predicate hasPart P35 FINISHED
Object Killingworth E71801 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: Killingworth | Statement: [Tyneside urban area, hasPart, Killingworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killingworth
Context triple: [Tyneside urban area, hasPart, Killingworth]
  • A. Killingworth chosen
    Killingworth is a village in North Tyneside, England, historically notable for its early coal mining and railway engineering associations.
  • B. Crosthwaite
    Crosthwaite is a small village in England’s Lake District, known for its rural charm and scenic surroundings.
  • C. Winford
    Winford is a small village and civil parish in North Somerset, England, situated near Bristol Airport and known for its rural character.
  • D. Whitewell
    Whitewell is a small rural hamlet in Lancashire, England, known for its scenic setting in the Forest of Bowland and traditional stone buildings.
  • E. Stillington
    Stillington is a small rural village and civil parish in North Yorkshire, England, known for its traditional English countryside setting.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd321bc81908eb61cc05b550754 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.