Triple

T21434904
Position Surface form Disambiguated ID Type / Status
Subject Lagoa DOC E528781 entity
Predicate grapeVariety P975 FINISHED
Object Arinto NE NERFINISHED

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: Arinto | Statement: [Lagoa DOC, grapeVariety, Arinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arinto
Context triple: [Lagoa DOC, grapeVariety, Arinto]
  • A. Arinto chosen
    Arinto is a Portuguese white grape variety known for producing fresh, high-acidity wines with citrus and mineral notes, widely grown in several regions including Vinho Verde.
  • B. Arosi
    Arosi is an Oceanic Austronesian language spoken primarily on Makira Island in the Solomon Islands.
  • C. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • D. Numata
    Numata is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
  • E. Kertosono
    Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b536274c8190809bd3cdf4ef899e completed April 22, 2026, 11:47 a.m.
Created at: April 16, 2026, 6 p.m.