Triple

T12239146
Position Surface form Disambiguated ID Type / Status
Subject Grenache E291680 entity
Predicate notableRegion P22 FINISHED
Object Priorat E391594 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: Priorat | Statement: [Grenache, notableRegion, Priorat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priorat
Context triple: [Grenache, notableRegion, Priorat]
  • A. Priorat chosen
    Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
  • B. Alt Penedès
    Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
  • C. Conca de Barberà
    Conca de Barberà is a comarca (county) in Catalonia, Spain, known for its medieval heritage, wine production, and the presence of the UNESCO-listed Poblet Monastery.
  • D. Penedès DO
    Penedès DO is a renowned Spanish wine region in Catalonia, particularly famous for its diverse still wines and its role in the production of Cava sparkling wine.
  • E. Baix Penedès comarca
    Baix Penedès comarca is a coastal county in Catalonia, Spain, known for its Mediterranean beaches, wine production, and proximity to the Costa Daurada.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5ff68c81909d2796b24dd055f4 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.