Triple

T9665003
Position Surface form Disambiguated ID Type / Status
Subject Rossett E233679 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Gresford E576249 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: Gresford | Statement: [Rossett, hasNearbySettlement, Gresford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gresford
Context triple: [Rossett, hasNearbySettlement, Gresford]
  • A. Gresford chosen
    Gresford is a village in Wrexham County Borough, Wales, noted for its historic church and picturesque setting.
  • B. Barrasford
    Barrasford is a small village in Northumberland, England, situated in the Tyne Valley and known for its rural setting and proximity to Hadrian’s Wall.
  • C. Galford
    Galford is a popular American ninja character from SNK’s Samurai Shodown fighting game series, known for fighting alongside his loyal dog Poppy.
  • D. Crossford
    Crossford is a small village situated in Scotland’s Clyde Valley, known for its rural character and surrounding agricultural landscape.
  • E. Gisburn
    Gisburn is a small rural village and civil parish in Lancashire, England, situated within the Ribble Valley district.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0e1ef481909c50a4ba5fd94583 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a17eea08190825404b01b0e8d96 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.