Triple

T1725777
Position Surface form Disambiguated ID Type / Status
Subject Oswestry E37491 entity
Predicate hasNearbyTown P3883 FINISHED
Object Gobowen E149216 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: Gobowen | Statement: [Oswestry, hasNearbyTown, Gobowen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gobowen
Context triple: [Oswestry, hasNearbyTown, Gobowen]
  • A. Gobowen chosen
    Gobowen is a village in Shropshire, England, known as a local transport hub with a railway station serving nearby towns and the Welsh border region.
  • B. Bryncoch
    Bryncoch is a suburban village in South Wales situated just north of Neath within the county borough of Neath Port Talbot.
  • C. Bargoed
    Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
  • D. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • E. Grindleford
    Grindleford is a village in the Derbyshire Peak District of England, known for its scenic countryside, walking trails, and proximity to popular climbing and hiking areas.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635cad5481908e6c04a230d3b0bb completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af329a481908cbd3cf351fabfd5 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.