Triple

T3853679
Position Surface form Disambiguated ID Type / Status
Subject Festival de Carcassonne E85358 entity
Predicate organisedBy P123 FINISHED
Object Ville de Carcassonne E392523 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: Ville de Carcassonne | Statement: [Festival de Carcassonne, organisedBy, Ville de Carcassonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ville de Carcassonne
Context triple: [Festival de Carcassonne, organisedBy, Ville de Carcassonne]
  • A. Cité de Carcassonne chosen
    Cité de Carcassonne is a famous medieval fortified city in southern France, renowned for its double walls, towers, and well-preserved historic architecture.
  • B. Perpignan
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • C. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • D. Béziers
    Béziers is a historic city in southern France known for its wine production, ancient Roman heritage, and the famous Feria de Béziers festival.
  • E. Villefranche-de-Rouergue
    Villefranche-de-Rouergue is a historic bastide town in southern France known for its medieval architecture and picturesque setting on the Aveyron River.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec0438308190865ff74bee5a1cf2 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c7b37048190a22907ffc85140c3 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.