Triple

T6200332
Position Surface form Disambiguated ID Type / Status
Subject Kuki-Chin languages E138612 entity
Predicate hasMember P10 FINISHED
Object Zo language
Zo language is a Tibeto-Burman language spoken primarily by the Zo people in parts of northeastern India and Myanmar.
 E575834 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: Zo language | Statement: [Kuki-Chin languages, hasMember, Zo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zo language
Context triple: [Kuki-Chin languages, hasMember, Zo language]
  • A. Zan languages
    The Zan languages are a small branch of the Kartvelian language family of the South Caucasus, comprising primarily the Mingrelian and Laz languages spoken along the Black Sea coast of Georgia and Turkey.
  • B. Zigula language
    The Zigula language is a Bantu language spoken primarily by the Zigula people of northeastern Tanzania and parts of Somalia.
  • C. Zay language
    Zay language is a South Ethiopic Semitic language spoken by the Zay people on islands and shores of Lake Zway in Ethiopia.
  • D. Zabana language
    The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
  • E. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • 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: Zo language
Triple: [Kuki-Chin languages, hasMember, Zo language]
Generated description
Zo language is a Tibeto-Burman language spoken primarily by the Zo people in parts of northeastern India and Myanmar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zo language
Target entity description: Zo language is a Tibeto-Burman language spoken primarily by the Zo people in parts of northeastern India and Myanmar.
  • A. Zan languages
    The Zan languages are a small branch of the Kartvelian language family of the South Caucasus, comprising primarily the Mingrelian and Laz languages spoken along the Black Sea coast of Georgia and Turkey.
  • B. Zigula language
    The Zigula language is a Bantu language spoken primarily by the Zigula people of northeastern Tanzania and parts of Somalia.
  • C. Zay language
    Zay language is a South Ethiopic Semitic language spoken by the Zay people on islands and shores of Lake Zway in Ethiopia.
  • D. Zabana language
    The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
  • E. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • 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.