Triple

T22197789
Position Surface form Disambiguated ID Type / Status
Subject Central Piedmontese E548591 entity
Predicate spokenIn P2266 FINISHED
Object Asti area 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: Asti area | Statement: [Central Piedmontese, spokenIn, Asti area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asti area
Context triple: [Central Piedmontese, spokenIn, Asti area]
  • A. Insubria area
    The Insubria area is a historical-geographical region in northern Italy and southern Switzerland, centered around the pre-Alpine lakes and the city of Varese, known for its shared Lombard cultural and linguistic heritage.
  • B. Annino District
    Annino District is an administrative district of Moscow, Russia, known primarily as a residential area within the city’s Southern Administrative Okrug.
  • C. Pallavicini area
    The Pallavicini area is a famously steep and challenging expert terrain zone at Colorado’s Arapahoe Basin Ski Area, known for its moguls, trees, and advanced runs.
  • D. Asti chosen
    Asti is a historic city in Italy’s Piedmont region, renowned for its sparkling wines, medieval architecture, and cultural traditions.
  • E. Asti
    Asti is a character in Hindu mythology known as one of the wives of the tyrant king Kamsa of Mathura.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae8c74c819080c7f9e8383ecaa7 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:36 p.m.