Triple

T2595230
Position Surface form Disambiguated ID Type / Status
Subject Breckland district E58212 entity
Predicate hasMarketTown P847 FINISHED
Object Watton E281751 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: Watton | Statement: [Breckland district, hasMarketTown, Watton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watton
Context triple: [Breckland district, hasMarketTown, Watton]
  • A. Watton chosen
    Watton is a small market town in the Breckland area of Norfolk, England, known for its rural character and historic high street.
  • B. Watton-at-Stone
    Watton-at-Stone is a village and civil parish in Hertfordshire, England, situated between Hertford and Stevenage.
  • C. Ouistreham
    Ouistreham is a coastal town in Normandy, France, known for its ferry port and its location at the eastern end of the D-Day landing area of Sword Beach.
  • D. Louviers
    Louviers is a historic town in northern France’s Normandy region, known for its medieval architecture and former textile industry.
  • E. Vaux
    Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd83299708190993b79daaffcc9a1 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af907835188190914a241e8bdf0d4f completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:49 p.m.