Triple

T10983432
Position Surface form Disambiguated ID Type / Status
Subject Northumberland County E259566 entity
Predicate containsSettlement P847 FINISHED
Object Ashington E256338 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: Ashington | Statement: [Northumberland County, containsSettlement, Ashington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashington
Context triple: [Northumberland County, containsSettlement, Ashington]
  • A. Ashington chosen
    Ashington is a former coal-mining town in Northumberland, England, known for its industrial heritage and role in the region’s mining history.
  • B. Ashington
    Ashington is a village and civil parish in West Sussex, England, situated within the Horsham District.
  • C. Assington
    Assington is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • D. Ashburnham
    Ashburnham is a small New England town in northern Massachusetts known for its rural character, lakes, and historic village center.
  • E. Ashingdon
    Ashingdon is a village and civil parish in Essex, England, known for its historic church and connections to the Battle of Assandun in 1016.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ec55fc81909b2b15f2493dddc6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e49677a2508190a113f9f24e318e48 completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.