Triple

T15572105
Position Surface form Disambiguated ID Type / Status
Subject Pontigny E374270 entity
Predicate locatedIn P40 FINISHED
Object Yonne E44545 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: Yonne | Statement: [Pontigny, locatedIn, Yonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yonne
Context triple: [Pontigny, locatedIn, Yonne]
  • A. Yonne chosen
    Yonne is a major river in north-central France that flows through the Burgundy region before joining the Seine.
  • B. Nièvre
    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.
  • C. Loiret
    Loiret is a department in north-central France, named after the Loiret River and known for its historic towns and proximity to the Loire Valley.
  • 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. Essonne River
    The Essonne River is a tributary of the Seine in northern France, flowing through the Île-de-France region and giving its name to the Essonne department.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2025888190a2b6240296bba13e completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79031f88190bf129582deeed3b9 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:10 a.m.