Triple

T12659429
Position Surface form Disambiguated ID Type / Status
Subject Catherine de Bourbon E302376 entity
Predicate residence P75 FINISHED
Object Béarn E876861 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: Béarn | Statement: [Catherine de Bourbon, residence, Béarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béarn
Context triple: [Catherine de Bourbon, residence, Béarn]
  • A. Béarn chosen
    Béarn is a historic province in southwestern France, nestled in the Pyrenees and known for its distinct cultural identity, Occitan-influenced language, and rich medieval heritage.
  • B. Haut Béarn
    Haut Béarn is an intercommunal administrative structure in southwestern France that groups together several communes in the Béarn region for cooperative local governance and services.
  • C. Midi-Pyrénées
    Midi-Pyrénées was a former administrative region in southwestern France, centered on Toulouse and known for its diverse landscapes and rich Occitan cultural heritage.
  • D. Pyrénées-Atlantiques
    Pyrénées-Atlantiques is a department in southwestern France, bordering Spain and the Atlantic Ocean, known for encompassing parts of the Basque Country and Béarn regions.
  • E. Hautes-Pyrénées
    Hautes-Pyrénées is a department in southwestern France, known for its mountainous landscapes in the Pyrenees and popular pilgrimage site of Lourdes.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684dd133481909ce06b8b1fd5a5e3 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:19 p.m.