Triple

T5704803
Position Surface form Disambiguated ID Type / Status
Subject Tuone Udaina E125757 entity
Predicate lastSpeakerOf P23806 FINISHED
Object Vegliot Dalmatian
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.
E542101 NE FINISHED

How this triple was built (4 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: [Tuone Udaina, lastSpeakerOf, Vegliot Dalmatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vegliot Dalmatian
Context triple: [Tuone Udaina, lastSpeakerOf, Vegliot Dalmatian]
  • A. Juvarra
    Juvarra is the surname of Filippo Juvarra, an influential Italian architect and stage designer of the late Baroque period.
  • B. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • C. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • D. 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.
  • E. Vela Luka
    Vela Luka is a coastal town and popular tourist destination on the western end of the Croatian island of Korčula, known for its scenic bay, maritime heritage, and Mediterranean atmosphere.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vegliot Dalmatian
Triple: [Tuone Udaina, lastSpeakerOf, Vegliot Dalmatian]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vegliot Dalmatian
Target entity description: 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.
  • A. Juvarra
    Juvarra is the surname of Filippo Juvarra, an influential Italian architect and stage designer of the late Baroque period.
  • B. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • C. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • D. 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.
  • E. Vela Luka
    Vela Luka is a coastal town and popular tourist destination on the western end of the Croatian island of Korčula, known for its scenic bay, maritime heritage, and Mediterranean atmosphere.
  • F. None of above. chosen

Provenance (5 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_69c0335cf55c8190937a8657406ac4a2 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a666d788190a0f786d12391a44b completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c0621308588190a0d7a86bb804134d completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:45 p.m.