Triple

T16782283
Position Surface form Disambiguated ID Type / Status
Subject Carinyena E407884 entity
Predicate widelyGrownIn P2078 FINISHED
Object Montsant E1236648 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: Montsant | Statement: [Carinyena, widelyGrownIn, Montsant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montsant
Context triple: [Carinyena, widelyGrownIn, Montsant]
  • A. Montsant chosen
    Montsant is a Spanish wine region in Catalonia known for producing robust, Mediterranean-style red wines, particularly from Garnacha (Garnatxa) and Cariñena grapes.
  • B. Segarra
    Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
  • C. Arenys de Munt
    Arenys de Munt is a municipality in the Maresme comarca of Catalonia, Spain, known for its Mediterranean setting and involvement in early Catalan independence referendums.
  • D. Caldes de Montbui
    Caldes de Montbui is a historic spa town in Catalonia, Spain, renowned for its thermal springs and Roman-era heritage.
  • E. Figaró-Montmany
    Figaró-Montmany is a small municipality in the province of Barcelona, Catalonia, Spain, situated in a mountainous area near the Montseny Natural Park.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b217b2108190bbba262a3b324509 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79a96408190ab01ccd144f3fade completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:22 a.m.