Triple

T2042650
Position Surface form Disambiguated ID Type / Status
Subject Nuristani people E44778 entity
Predicate language P15 FINISHED
Object Prasuni
Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
E228159 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: Prasuni | Statement: [Nuristani people, language, Prasuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prasuni
Context triple: [Nuristani people, language, Prasuni]
  • A. Santragachi
    Santragachi is a prominent residential and transport hub in the Howrah region of West Bengal, known especially for its major railway junction and nearby lake that attracts migratory birds.
  • B. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • C. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • D. Shungopavi
    Shungopavi is a traditional Hopi village in northeastern Arizona known for its deep cultural significance and long-standing Indigenous heritage.
  • E. Yerrapragada
    Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
  • 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: Prasuni
Triple: [Nuristani people, language, Prasuni]
Generated description
Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prasuni
Target entity description: Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • A. Santragachi
    Santragachi is a prominent residential and transport hub in the Howrah region of West Bengal, known especially for its major railway junction and nearby lake that attracts migratory birds.
  • B. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • C. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • D. Shungopavi
    Shungopavi is a traditional Hopi village in northeastern Arizona known for its deep cultural significance and long-standing Indigenous heritage.
  • E. Yerrapragada
    Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95587348190bb5719faeaf0aa5d completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffbbf948190a89932013b463f85 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae20946a288190a3bd2a19e3608e86 completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2109d17c819094a298a822064052 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:39 p.m.