Triple

T10768707
Position Surface form Disambiguated ID Type / Status
Subject Périgord Noir E254019 entity
Predicate contains P35 FINISHED
Object Sarlat-la-Canéda E382099 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: Sarlat-la-Canéda | Statement: [Périgord Noir, contains, Sarlat-la-Canéda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarlat-la-Canéda
Context triple: [Périgord Noir, contains, Sarlat-la-Canéda]
  • A. Sarlat-la-Canéda chosen
    Sarlat-la-Canéda is a well-preserved medieval town in southwestern France, renowned for its historic architecture, cobbled streets, and vibrant markets in the Périgord Noir region.
  • B. Cazères
    Cazères is a small commune in southwestern France situated in the Haute-Garonne department, known for its location along the Garonne River.
  • C. 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.
  • D. Saint-Céré
    Saint-Céré is a small historic town in the Lot department of southwestern France, known for its medieval architecture and picturesque setting in the Dordogne Valley.
  • E. Ribérac
    Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7322f9968819098b0ad54b913bfe4 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55cbbecc81908c2ddf2739ce7ffe completed April 14, 2026, 2:57 p.m.
Created at: April 8, 2026, 9:16 p.m.