Triple

T4067814
Position Surface form Disambiguated ID Type / Status
Subject Filkins E86367 entity
Predicate nearestLargeTown P1982 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: [Filkins, nearestLargeTown, Carterton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carterton
Context triple: [Filkins, nearestLargeTown, 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. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • D. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • E. Kedington
    Kedington is a village and civil parish in the English county of Suffolk, known for its historic church and rural setting near Haverhill.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf73a1c81909f1741f4ecf55f98 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b48fc481908547d51aae15e959 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.