Triple

T9665079
Position Surface form Disambiguated ID Type / Status
Subject Gobowen railway station E233681 entity
Predicate providesServiceTo P82 FINISHED
Object Chirk E153586 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: Chirk | Statement: [Gobowen railway station, providesServiceTo, Chirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chirk
Context triple: [Gobowen railway station, providesServiceTo, Chirk]
  • A. Chirk chosen
    Chirk is a small Welsh border town known for its historic castle and aqueduct near the England–Wales boundary.
  • B. Chirton
    Chirton is a residential area and former village within the metropolitan borough of North Tyneside in North East England.
  • C. Torphichen
    Torphichen is a historic village in central Scotland known for its medieval preceptory of the Knights Hospitaller and its picturesque rural setting.
  • D. Sherkston
    Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
  • E. Kincumber
    Kincumber is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential communities, waterways, and proximity to natural reserves.
  • 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_69cd9c38f65c8190a0ed20830249a0f1 completed April 1, 2026, 10:29 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.