Triple

T2055996
Position Surface form Disambiguated ID Type / Status
Subject Prasun language E45675 entity
Predicate alternativeName P39 FINISHED
Object Vasi-vari
Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
 E228808 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: Vasi-vari | Statement: [Prasun language, alternativeName, Vasi-vari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vasi-vari
Context triple: [Prasun language, alternativeName, Vasi-vari]
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vaska Pepel
    Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
  • C. Vassy
    Vassy is a commune in northeastern France historically known as the site of the 1562 Massacre of Vassy, an event that helped ignite the French Wars of Religion.
  • D. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • E. Valvins
    Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
  • 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: Vasi-vari
Triple: [Prasun language, alternativeName, Vasi-vari]
Generated description
Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vasi-vari
Target entity description: Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vaska Pepel
    Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
  • C. Vassy
    Vassy is a commune in northeastern France historically known as the site of the 1562 Massacre of Vassy, an event that helped ignite the French Wars of Religion.
  • D. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • E. Valvins
    Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a9ce548190a5a3488fafb2e79e completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200eb09881908bbfe47ebb62f55e completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20cb479c8190853d0d954af16887 completed March 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae21614e74819093617a355f0857c8 completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:40 p.m.