Triple

T6200333
Position Surface form Disambiguated ID Type / Status
Subject Kuki-Chin languages E138612 entity
Predicate hasMember P10 FINISHED
Object Simte language
The Simte language is a Kuki-Chin language spoken primarily by the Simte people in northeastern India, especially in the state of Manipur.
E575835 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: Simte language | Statement: [Kuki-Chin languages, hasMember, Simte language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simte language
Context triple: [Kuki-Chin languages, hasMember, Simte language]
  • A. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • B. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • C. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • 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: Simte language
Triple: [Kuki-Chin languages, hasMember, Simte language]
Generated description
The Simte language is a Kuki-Chin language spoken primarily by the Simte people in northeastern India, especially in the state of Manipur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simte language
Target entity description: The Simte language is a Kuki-Chin language spoken primarily by the Simte people in northeastern India, especially in the state of Manipur.
  • A. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • B. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • C. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062547cd48190a2715537b961262e completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f366cfc81909cca73677268821a completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e375c5948190ad166089e866694a completed March 24, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_69c1e43fa8348190a2247996d88b5011 completed March 24, 2026, 1:09 a.m.
Created at: March 22, 2026, 4:20 p.m.