Triple

T22574653
Position Surface form Disambiguated ID Type / Status
Subject Antonio Udina E544360 entity
Predicate languageSpoken P151 FINISHED
Object Dalmatian language 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: Dalmatian language | Statement: [Antonio Udina, languageSpoken, Dalmatian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalmatian language
Context triple: [Antonio Udina, languageSpoken, Dalmatian language]
  • A. Dalmatian language chosen
    The Dalmatian language was an extinct Romance language once spoken along the Dalmatian coast of Croatia, known from only a few historical records.
  • B. Emilian language
    The Emilian language is a Romance language spoken primarily in the Emilia region of northern Italy, characterized by several distinct local dialects and strong historical ties to neighboring Gallo-Italic varieties.
  • C. Bora language
    The Bora language is an indigenous Witotoan language spoken by the Bora people of the northwestern Amazon in Peru and Colombia.
  • D. Zala language
    The Zala language is an Afroasiatic Omotic language spoken by the Zala people of southwestern Ethiopia.
  • E. Ladin language
    Ladin language is a Rhaeto-Romance language spoken primarily in the Dolomite mountain region of northern Italy.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fec296481908a6101b02e5bedaa completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.