Triple

T23094060
Position Surface form Disambiguated ID Type / Status
Subject Zo language E575834 entity
Predicate hasAlternativeName P39 FINISHED
Object Zou language
The Zou language is a Kuki-Chin language spoken primarily by the Zou people in parts of northeastern India and Myanmar.
 E1570420 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: Zou language | Statement: [Zo language, hasAlternativeName, Zou language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zou language
Context triple: [Zo language, hasAlternativeName, Zou language]
  • A. Zigua language
    The Zigua language is a Bantu language spoken primarily in northeastern Tanzania by the Zigua people.
  • B. Zeliang language
    The Zeliang language is a Tibeto-Burman language spoken by the Zeliang Naga people of Northeast India, primarily in parts of Nagaland and Manipur.
  • C. Mulao language
    The Mulao language is a Kam–Sui language of the Tai–Kadai family spoken by the Mulao ethnic group in southern China.
  • D. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • E. Jingpo language
    The Jingpo language is a Tibeto-Burman language spoken primarily by the Jingpo (Kachin) people in northern Myanmar and adjacent regions of China and India.
  • 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: Zou language
Triple: [Zo language, hasAlternativeName, Zou language]
Generated description
The Zou language is a Kuki-Chin language spoken primarily by the Zou people in parts of northeastern India and Myanmar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zou language
Target entity description: The Zou language is a Kuki-Chin language spoken primarily by the Zou people in parts of northeastern India and Myanmar.
  • A. Zigua language
    The Zigua language is a Bantu language spoken primarily in northeastern Tanzania by the Zigua people.
  • B. Zeliang language
    The Zeliang language is a Tibeto-Burman language spoken by the Zeliang Naga people of Northeast India, primarily in parts of Nagaland and Manipur.
  • C. Mulao language
    The Mulao language is a Kam–Sui language of the Tai–Kadai family spoken by the Mulao ethnic group in southern China.
  • D. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • E. Jingpo language
    The Jingpo language is a Tibeto-Burman language spoken primarily by the Jingpo (Kachin) people in northern Myanmar and adjacent regions of China and India.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de2ed088190971ff08c58b15aad completed April 29, 2026, 4:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b97b6881909cbc1afc68ea80b6 completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c175e246081909d6451f245ccfe66 completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1820a4d88190aed59f50b4e7ec47 completed May 19, 2026, 7:58 a.m.
Created at: April 17, 2026, 3:57 p.m.