Triple

T3991347
Position Surface form Disambiguated ID Type / Status
Subject Vivaro-Alpine E86995 entity
Predicate neighboringLanguage P16383 FINISHED
Object Piedmontese E22452 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: Piedmontese | Statement: [Vivaro-Alpine, neighboringLanguage, Piedmontese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piedmontese
Context triple: [Vivaro-Alpine, neighboringLanguage, Piedmontese]
  • A. Piedmontese chosen
    Piedmontese is a Romance language spoken primarily in Italy’s Piedmont region, distinct from standard Italian and recognized for its own rich literary and cultural tradition.
  • B. Piemontese
    Piemontese is a Romance language spoken primarily in Italy’s Piedmont region, distinct from standard Italian and recognized for its own rich literary and cultural tradition.
  • C. Leonese
    Leonese is a Romance language of the Astur-Leonese group traditionally spoken in parts of northwestern Spain, particularly in the historical region of León.
  • D. Bellonese
    The Bellonese are an indigenous Polynesian people of Rennell and Bellona in the Solomon Islands, known for their distinct language, culture, and traditional seafaring heritage.
  • E. Florinese
    Florinese refers to a fictional nationality from the kingdom of Florin in William Goldman’s novel and the film adaptation "The Princess Bride."
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa02ed6881908e31d342413fed26 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54035e92c81909dc2be18719b062c completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.