Triple

T12788207
Position Surface form Disambiguated ID Type / Status
Subject Vilafranca del Penedès E305686 entity
Predicate capitalOf P204 FINISHED
Object Alt Penedès E254928 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: Alt Penedès | Statement: [Vilafranca del Penedès, capitalOf, Alt Penedès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alt Penedès
Context triple: [Vilafranca del Penedès, capitalOf, Alt Penedès]
  • A. Alt Penedès chosen
    Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
  • B. 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.
  • C. Badia del Vallès
    Badia del Vallès is a small, densely populated municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its largely residential character and proximity to Barcelona.
  • 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. Priorat
    Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5dbdb88190a1b06721ada51627 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b925b3c81909f5e604c0f457645 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:30 p.m.