Triple

T16132584
Position Surface form Disambiguated ID Type / Status
Subject Tannat E391436 entity
Predicate notableNewWorldRegion P35463 FINISHED
Object Mendoza E50047 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: Mendoza | Statement: [Tannat, notableNewWorldRegion, Mendoza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mendoza
Context triple: [Tannat, notableNewWorldRegion, Mendoza]
  • A. Mendoza
    Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
  • B. Mendoza
    Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
  • C. Mendoza Province chosen
    Mendoza Province is a region in western Argentina known for its Andean landscapes, including the towering Aconcagua peak, and its prominent wine-producing industry.
  • D. Santiago del Estero
    Santiago del Estero is a historic city in northern Argentina that serves as the capital of Santiago del Estero Province and is considered one of the country’s oldest continuously inhabited settlements.
  • E. Rivadavia, Mendoza
    Rivadavia, Mendoza is a town and wine-producing agricultural center in the Mendoza Province of western Argentina, located in a fertile oasis area irrigated by Andean rivers.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02e0048190b4e2c6ff434c2d7a completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a0ed9c8190a10fa88ee94811cb completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.