Triple

T3724684
Position Surface form Disambiguated ID Type / Status
Subject Château Le Pin E81720 entity
Predicate subregion P747 FINISHED
Object Libournais E313294 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: Libournais | Statement: [Château Le Pin, subregion, Libournais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libournais
Context triple: [Château Le Pin, subregion, Libournais]
  • A. Libournais chosen
    Libournais is a renowned wine-producing region on Bordeaux’s Right Bank in southwestern France, known for its Merlot-dominant red wines and appellations such as Pomerol and Saint-Émilion.
  • B. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • C. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • D. Saintonge
    Saintonge is a historic coastal region in western France, centered around the town of Saintes and known for its Romanesque heritage and early production of cognac.
  • E. Louletano
    Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf54af881908bd8d520595de061 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1e303881909efc1c6735d6c12e completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:34 p.m.