Triple

T3562006
Position Surface form Disambiguated ID Type / Status
Subject Province of Valladolid E75358 entity
Predicate hasWineRegion P285 FINISHED
Object Toro DO (partly) E266545 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: Toro DO (partly) | Statement: [Province of Valladolid, hasWineRegion, Toro DO (partly)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toro DO (partly)
Context triple: [Province of Valladolid, hasWineRegion, Toro DO (partly)]
  • A. Torrontés
    Torrontés is an aromatic white wine grape variety from Argentina, known for its floral, citrusy wines with crisp acidity.
  • B. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • C. Toro chosen
    Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
  • D. Toro
    Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
  • E. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc08bdde88190915d2f6ddf26e00e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bba21960819094676de7c4740fd9 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.