Triple

T8444860
Position Surface form Disambiguated ID Type / Status
Subject North Munda languages E199647 entity
Predicate includesLanguage P2177 FINISHED
Object Asuri language
Asuri language is an endangered Munda language of the Austroasiatic family spoken by the Asur tribal community in eastern India, primarily in Jharkhand.
 E734619 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: Asuri language | Statement: [North Munda languages, includesLanguage, Asuri language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asuri language
Context triple: [North Munda languages, includesLanguage, Asuri language]
  • A. Anuki language
    The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
  • B. Arosi language
    The Arosi language is an Oceanic language spoken primarily on Makira Island in the Solomon Islands.
  • C. Ashkun language
    The Ashkun language is a Nuristani language spoken by the Ashkun people in remote regions of eastern Afghanistan.
  • D. Ansus language
    The Ansus language is an Austronesian language spoken in eastern Indonesia, specifically in the South Halmahera–West New Guinea region.
  • E. Atsugewi language
    The Atsugewi language is an extinct Native American language of northeastern California, traditionally spoken by the Atsugewi people in the Pit River region.
  • 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: Asuri language
Triple: [North Munda languages, includesLanguage, Asuri language]
Generated description
Asuri language is an endangered Munda language of the Austroasiatic family spoken by the Asur tribal community in eastern India, primarily in Jharkhand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asuri language
Target entity description: Asuri language is an endangered Munda language of the Austroasiatic family spoken by the Asur tribal community in eastern India, primarily in Jharkhand.
  • A. Anuki language
    The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
  • B. Arosi language
    The Arosi language is an Oceanic language spoken primarily on Makira Island in the Solomon Islands.
  • C. Ashkun language
    The Ashkun language is a Nuristani language spoken by the Ashkun people in remote regions of eastern Afghanistan.
  • D. Ansus language
    The Ansus language is an Austronesian language spoken in eastern Indonesia, specifically in the South Halmahera–West New Guinea region.
  • E. Atsugewi language
    The Atsugewi language is an extinct Native American language of northeastern California, traditionally spoken by the Atsugewi people in the Pit River region.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f3729e4819084600862b53c94a8 completed April 2, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fdde53c8190b356950f878b6b70 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:09 p.m.