Triple

T22885855
Position Surface form Disambiguated ID Type / Status
Subject Mansfield, Nottinghamshire, England E567601 entity
Predicate hasTwinTown P919 FINISHED
Object Rennes, France NE NERFINISHED

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: Rennes, France | Statement: [Mansfield, Nottinghamshire, England, hasTwinTown, Rennes, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rennes, France
Context triple: [Mansfield, Nottinghamshire, England, hasTwinTown, Rennes, France]
  • A. Rennes chosen
    Rennes is the capital city of France’s Brittany region, known for its historic medieval center, vibrant student population, and role as a major cultural and economic hub in western France.
  • B. Brest, Brittany
    Brest, Brittany is a major French naval port and maritime city in western France, known as a key base for the country's strategic submarine forces.
  • C. Clermont, France
    Clermont, France is a historic French town whose name was later adopted by the city of Clermont in Florida, USA.
  • D. Roscoff, France
    Roscoff, France is a small coastal town in Brittany known for its historic port, thalassotherapy centers, and traditional onion-growing heritage.
  • E. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc0cdb081908107d40069d9735f completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.