Triple

T12644415
Position Surface form Disambiguated ID Type / Status
Subject Maipú E301983 entity
Predicate partOf P40 FINISHED
Object Mendoza wine route E874941 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 wine route | Statement: [Maipú, partOf, Mendoza wine route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mendoza wine route
Context triple: [Maipú, partOf, Mendoza wine route]
  • A. Mendoza wine region chosen
    The Mendoza wine region is Argentina’s most important and renowned wine-producing area, famed especially for its high-altitude Malbec vineyards at the foothills of the Andes.
  • B. Valles Calchaquíes wine region
    Valles Calchaquíes wine region is a high-altitude Argentine wine-producing area renowned for its intense, aromatic wines, particularly Torrontés and Malbec.
  • C. Valle del Itata wine route
    The Valle del Itata wine route is a scenic enotourism circuit in Chile’s historic Itata Valley, known for its traditional vineyards, old-vine varieties, and rural wine culture.
  • D. Tarija wine valleys
    Tarija wine valleys are a high-altitude viticultural region in southern Bolivia known for producing wines and singani from grapes grown in some of the world’s highest vineyards.
  • E. Viña Delmar
    Viña Delmar was an American novelist, short story writer, and screenwriter known for her sharp, sophisticated dialogue and contributions to classic Hollywood films.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719a45d881908dd895836a225781 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:17 p.m.