Triple

T1265479
Position Surface form Disambiguated ID Type / Status
Subject Oxfordshire E12590 entity
Predicate contains P35 FINISHED
Object Carterton E37630 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: Carterton | Statement: [Oxfordshire, contains, Carterton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carterton
Context triple: [Oxfordshire, contains, Carterton]
  • A. Carterton chosen
    Carterton is a town in West Oxfordshire, England, known for its proximity to RAF Brize Norton and its role as a growing residential community.
  • B. Poynton
    Poynton is a town in Cheshire, England, known for its former coal mining industry and distinctive shared-space central junction.
  • C. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • D. Chicksands
    Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
  • E. Pinxton
    Pinxton is a village and civil parish in the Amber Valley district of Derbyshire, England, historically associated with coal mining and the production of Pinxton porcelain.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4c036deb881909b234894347c75c6 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce5dac54819097ff1fe72a19380d completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:50 p.m.