Triple

T7624365
Position Surface form Disambiguated ID Type / Status
Subject Emilian E172587 entity
Predicate closelyRelatedTo P37 FINISHED
Object Romagnol E33911 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: Romagnol | Statement: [Emilian, closelyRelatedTo, Romagnol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romagnol
Context triple: [Emilian, closelyRelatedTo, Romagnol]
  • A. Emilian-Romagnol chosen
    Emilian-Romagnol is a Romance language variety spoken primarily in Italy’s Emilia-Romagna region, known for its distinct phonology and vocabulary compared to standard Italian.
  • B. Brescian
    Brescian is a variety of the Lombard language traditionally spoken in and around the city of Brescia in northern Italy.
  • C. Piacentini
    Piacentini are the inhabitants or natives of the Italian city of Piacenza, located in the Emilia-Romagna region.
  • D. Ferrarese
    Ferrarese is a regional variety of the Emilian-Romagnol language spoken in and around the city of Ferrara in northern Italy.
  • E. 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.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6648608190a9203b98b76209aa completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:56 p.m.