Triple

T12305424
Position Surface form Disambiguated ID Type / Status
Subject Alba, Italy E293339 entity
Predicate knownFor P22 FINISHED
Object Barolo wine E151240 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: Barolo wine | Statement: [Alba, Italy, knownFor, Barolo wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barolo wine
Context triple: [Alba, Italy, knownFor, Barolo wine]
  • A. Barolo chosen
    Barolo is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its powerful structure, complex aromas, and long aging potential.
  • B. Brunello di Montalcino
    Brunello di Montalcino is a prestigious Italian red wine made from Sangiovese grapes around the town of Montalcino in Tuscany, renowned for its longevity, structure, and complex flavors.
  • C. Chianti
    Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
  • D. Barbaresco
    Barbaresco is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its elegance, aromatic complexity, and long aging potential.
  • E. Taurasi wine
    Taurasi wine is a prestigious Italian red wine from Campania, renowned for its powerful, age-worthy Aglianico-based reds often dubbed the “Barolo of the South.”
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.