Triple

T8689913
Position Surface form Disambiguated ID Type / Status
Subject Dão wine region E206259 entity
Predicate importantRedGrape P17953 FINISHED
Object Jaen E66602 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: Jaen | Statement: [Dão wine region, importantRedGrape, Jaen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaen
Context triple: [Dão wine region, importantRedGrape, Jaen]
  • A. Jaen
    Jaen is a landlocked agricultural municipality in the province of Nueva Ecija in the Central Luzon region of the Philippines.
  • B. Jaén chosen
    Jaén is a province in southern Spain’s Andalusia region, renowned for its vast olive groves and historic Renaissance towns.
  • C. Jaén
    Jaén is a significant commercial and agricultural city in northern Peru, known as a regional hub within the Cajamarca Region.
  • D. Murcia
    Murcia is a historic city and region in southeastern Spain, known for its fertile agricultural plain, baroque architecture, and role as a former frontier territory between Christian and Muslim realms on the Iberian Peninsula.
  • E. Seville
    Seville is a historic Spanish city in Andalusia renowned for its rich Moorish and Christian heritage, iconic landmarks like the Giralda and Alcázar, and vibrant cultural traditions such as flamenco.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c2e9c688190aceefaa2c3b7d7bd completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d121cb33188190b5b70020a041c18f completed April 4, 2026, 2:35 p.m.
Created at: March 30, 2026, 6:33 p.m.