Triple

T18824090
Position Surface form Disambiguated ID Type / Status
Subject canton of Ribérac E460338 entity
Predicate namedAfter P63 FINISHED
Object Ribérac 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: Ribérac | Statement: [canton of Ribérac, namedAfter, Ribérac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ribérac
Context triple: [canton of Ribérac, namedAfter, Ribérac]
  • A. Ribérac chosen
    Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
  • B. Figeac
    Figeac is a historic town in southwestern France known for its medieval architecture and as the birthplace of Jean-François Champollion, who deciphered Egyptian hieroglyphs.
  • C. Jonzac
    Jonzac is a small historic town in southwestern France known for its thermal spa resort, medieval château, and role as an administrative center in the Charente-Maritime department.
  • D. Trélissac
    Trélissac is a commune in southwestern France’s Dordogne department, known as a residential suburb of Périgueux with natural green spaces and local sports facilities.
  • E. Sérignac
    Sérignac is a small commune in the Tarn-et-Garonne department in southern France.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bce5588190bd0aefcd0c51edad completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:56 a.m.