Triple

T13209542
Position Surface form Disambiguated ID Type / Status
Subject Louis Barthou E314450 entity
Predicate placeOfBirth P1 FINISHED
Object Oloron-Sainte-Marie E453921 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: Oloron-Sainte-Marie | Statement: [Louis Barthou, placeOfBirth, Oloron-Sainte-Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oloron-Sainte-Marie
Context triple: [Louis Barthou, placeOfBirth, Oloron-Sainte-Marie]
  • A. Oloron-Sainte-Marie chosen
    Oloron-Sainte-Marie is a historic town in southwestern France, known as a gateway to the Pyrenees and for its Romanesque cathedral and traditional Béarnaise culture.
  • 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. Ribérac
    Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
  • D. 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.
  • E. Sarlat-la-Canéda
    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.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9e072c8190b66e2c2430628ed0 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.