Triple

T5704905
Position Surface form Disambiguated ID Type / Status
Subject Vegliot dialect E125759 entity
Predicate alternativeName P39 FINISHED
Object Vegliot Dalmatian E542101 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: Vegliot Dalmatian | Statement: [Vegliot dialect, alternativeName, Vegliot Dalmatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vegliot Dalmatian
Context triple: [Vegliot dialect, alternativeName, Vegliot Dalmatian]
  • A. Vegliot Dalmatian chosen
    Vegliot Dalmatian was an extinct Romance language once spoken on the island of Krk in the Adriatic, representing the northernmost variety of the Dalmatian language.
  • B. Juvarra
    Juvarra is the surname of Filippo Juvarra, an influential Italian architect and stage designer of the late Baroque period.
  • C. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • D. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • E. Ibzan
    Ibzan is a minor biblical judge of Israel mentioned in the Book of Judges, known for his large family and brief period of leadership.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024585d14819098ec34fd5a858836 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07de7df8c8190824d24f729eaa04d completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:45 p.m.