Triple

T7710717
Position Surface form Disambiguated ID Type / Status
Subject Nevers Cathedral E174742 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Nièvre E31578 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: Nièvre | Statement: [Nevers Cathedral, locatedInAdministrativeTerritory, Nièvre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nièvre
Context triple: [Nevers Cathedral, locatedInAdministrativeTerritory, Nièvre]
  • A. Nièvre chosen
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • B. Yonne
    Yonne is a major river in north-central France that flows through the Burgundy region before joining the Seine.
  • C. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • D. Loir
    The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
  • E. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ad6b788190892b96ab523d111f completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d016a0027c81908d3454447fa461b2 completed April 3, 2026, 7:36 p.m.
Created at: March 27, 2026, 4:04 p.m.