Triple

T520301
Position Surface form Disambiguated ID Type / Status
Subject Witney E10799 entity
Predicate containsTown P847 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: [Witney, containsTown, Carterton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carterton
Context triple: [Witney, containsTown, 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. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • C. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • D. Watlington
    Watlington is a village in Norfolk, England, known for its rural character and location near the River Great Ouse.
  • E. Chatteris
    Chatteris is a small market town in the Fenland district of Cambridgeshire, England, known for its agricultural surroundings and historic parish church.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a00a6c8190a62dc7c901c2f2ff completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a6feef408190b6e3f6fec95c36e7 completed March 1, 2026, 8:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.