Triple

T13365694
Position Surface form Disambiguated ID Type / Status
Subject Madrid wine region E318932 entity
Predicate abbreviation P43 FINISHED
Object Vinos de Madrid DO E1036999 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: Vinos de Madrid DO | Statement: [Madrid wine region, abbreviation, Vinos de Madrid DO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinos de Madrid DO
Context triple: [Madrid wine region, abbreviation, Vinos de Madrid DO]
  • A. DO Vinos de Madrid chosen
    DO Vinos de Madrid is the official Spanish Denominación de Origen that designates and protects quality wines produced in the Madrid wine region.
  • B. La Mancha wines
    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.
  • C. Madrid wine region
    The Madrid wine region is a Spanish Denominación de Origen surrounding the capital, known for its diverse terroirs and production of quality red, white, and rosé wines.
  • D. 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.
  • E. Rioja
    Rioja is a city in northern Peru’s San Martín Region, known as a commercial and agricultural center in the Alto Mayo valley.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f730687e548190ab1504d43f250e09 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:32 p.m.