Triple

T18077290
Position Surface form Disambiguated ID Type / Status
Subject County of Clermont-en-Beauvaisis E432586 entity
Predicate locatedIn P40 FINISHED
Object Beauvaisis 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: Beauvaisis | Statement: [County of Clermont-en-Beauvaisis, locatedIn, Beauvaisis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beauvaisis
Context triple: [County of Clermont-en-Beauvaisis, locatedIn, Beauvaisis]
  • A. Beauvais chosen
    Beauvais is a historic city in northern France known for its impressive Gothic cathedral and role as the capital of the Oise department.
  • B. Vendômois
    Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
  • C. Bruailles
    Bruailles is a small commune in the Saône-et-Loire department of eastern France, situated within the Bourgogne-Franche-Comté region.
  • D. Jumièges
    Jumièges is a commune in northern France best known for the ruins of its historic Benedictine abbey, Jumièges Abbey, a major example of Norman Romanesque architecture.
  • E. Étiolles
    Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f5d10481908b09af0b44d3db4f completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:26 a.m.