Triple

T8980559
Position Surface form Disambiguated ID Type / Status
Subject River Wyre E214512 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Great Eccleston E693576 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: Great Eccleston | Statement: [River Wyre, hasNearbySettlement, Great Eccleston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Eccleston
Context triple: [River Wyre, hasNearbySettlement, Great Eccleston]
  • A. Great Eccleston chosen
    Great Eccleston is a village and civil parish in Lancashire, England, known for its rural character and annual agricultural show.
  • B. Great Notley
    Great Notley is a modern residential village and civil parish in Essex, England, known for its planned community layout and large country park.
  • C. Nechells
    Nechells is an inner-city district of Birmingham, England, known for its industrial heritage and residential neighborhoods.
  • D. Skelton Green
    Skelton Green is a small village in North Yorkshire, England, situated near the North Sea coast and historically associated with the Teesside area.
  • E. Gossops Green
    Gossops Green is a residential neighbourhood and suburb within the town of Crawley in West Sussex, England.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a615b081909b88e761be879802 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9719f5c8190bc22c3c7375b54f7 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.