Triple

T15187391
Position Surface form Disambiguated ID Type / Status
Subject Marmolada E362911 entity
Predicate region P40 FINISHED
Object Veneto E40281 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: Veneto | Statement: [Marmolada, region, Veneto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veneto
Context triple: [Marmolada, region, Veneto]
  • A. Veneto chosen
    Veneto is a region in northeastern Italy known for its historic cities like Venice and Verona, rich cultural heritage, and diverse landscapes ranging from the Adriatic coast to the Dolomite mountains.
  • B. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • C. Friuli Venezia Giulia
    Friuli Venezia Giulia is an autonomous region in northeastern Italy known for its cultural diversity, Alpine and Adriatic landscapes, and strategic position bordering Austria and Slovenia.
  • D. Lombardy
    Lombardy is a populous and economically powerful region in northern Italy, known for its capital Milan and its role as a major European hub for finance, fashion, and industry.
  • E. Piemonte
    Piemonte is a region in northwestern Italy known for its rich culinary traditions, prestigious wines like Barolo and Barbaresco, and the industrial city of Turin.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067995fc8190b048f15086bd42f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff133950288190a5ffeb52ee0bac37 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:09 a.m.