Triple

T16060489
Position Surface form Disambiguated ID Type / Status
Subject Baix Camp E389596 entity
Predicate borders P224 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: [Baix Camp, borders, Priorat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priorat
Context triple: [Baix Camp, borders, 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837850288190910ef37d6484c600 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29836bc8190b35f528d3e8547be completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:57 a.m.