Triple

T6866594
Position Surface form Disambiguated ID Type / Status
Subject North Tyneside E158416 entity
Predicate containsSettlement P847 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: [North Tyneside, containsSettlement, Killingworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killingworth
Context triple: [North Tyneside, containsSettlement, Killingworth]
  • A. Killingworth chosen
    Killingworth is a village in North Tyneside, England, historically notable for its early coal mining and railway engineering associations.
  • B. Whitewell
    Whitewell is a small rural hamlet in Lancashire, England, known for its scenic setting in the Forest of Bowland and traditional stone buildings.
  • C. Stillington
    Stillington is a small rural village and civil parish in North Yorkshire, England, known for its traditional English countryside setting.
  • D. Willington
    Willington is a village and civil parish in South Derbyshire, England, known for its riverside location on the Trent and Mersey Canal and nearby power station landmarks.
  • E. Isleham
    Isleham is a rural village and civil parish in Cambridgeshire, England, known for its historic churches and fenland landscape.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a5ef848190b6b9a11a3fbdb384 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74292922c8190a0d3ee6f74ff672c completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:21 p.m.