Triple

T9488031
Position Surface form Disambiguated ID Type / Status
Subject Kati language E228811 entity
Predicate alternativeName P39 FINISHED
Object Kata-vari language
The Kata-vari language is a Nuristani language spoken primarily in parts of Afghanistan and Pakistan by the Kati (Kata) people.
 E801742 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: Kata-vari language | Statement: [Kati language, alternativeName, Kata-vari language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kata-vari language
Context triple: [Kati language, alternativeName, Kata-vari language]
  • A. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • B. Khortha language
    Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
  • C. Kiga language
    The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
  • D. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • E. Kitanemuk language
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • 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: Kata-vari language
Triple: [Kati language, alternativeName, Kata-vari language]
Generated description
The Kata-vari language is a Nuristani language spoken primarily in parts of Afghanistan and Pakistan by the Kati (Kata) people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kata-vari language
Target entity description: The Kata-vari language is a Nuristani language spoken primarily in parts of Afghanistan and Pakistan by the Kati (Kata) people.
  • A. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • B. Khortha language
    Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
  • C. Kiga language
    The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
  • D. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • E. Kitanemuk language
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d18fd908190b562fa0a8dad7c63 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12da44d7c8190afb11ae3009a79e5 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e1459348190aed583b2364a53dd completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:55 p.m.