Triple

T14583303
Position Surface form Disambiguated ID Type / Status
Subject Province of Albacete E342247 entity
Predicate hasWineRegion P285 FINISHED
Object La Mancha DO E456408 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: La Mancha DO | Statement: [Province of Albacete, hasWineRegion, La Mancha DO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Mancha DO
Context triple: [Province of Albacete, hasWineRegion, La Mancha DO]
  • A. Ribera del Duero DO
    Ribera del Duero DO is a prestigious Spanish wine appellation in the Duero River valley, renowned for its high-quality Tempranillo-based red wines.
  • B. Marqués del Duero
    Marqués del Duero was a 19th-century Spanish warship that served in the Pacific, notably participating in naval operations during Spain’s overseas conflicts.
  • C. La Mancha wines chosen
    La Mancha wines are Spanish wines produced in the La Mancha region, known for their extensive vineyards and a wide range of red, white, and rosé styles.
  • D. Rioja
    Rioja is a city in northern Peru’s San Martín Region, known as a commercial and agricultural center in the Alto Mayo valley.
  • E. La Rioja
    La Rioja is an autonomous community and renowned wine-producing region in northern Spain, famous for its vineyards and historic towns along the Ebro River.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ba235c81909e0408ccf2be9628 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.