Triple

T7124625
Position Surface form Disambiguated ID Type / Status
Subject Bodo–Konyak–Jingpho branch E166028 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Ao language
Ao language is a Sino-Tibetan language spoken primarily by the Ao Naga people in Nagaland, India.
 E644028 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: Ao language | Statement: [Bodo–Konyak–Jingpho branch, hasMemberLanguage, Ao language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ao language
Context triple: [Bodo–Konyak–Jingpho branch, hasMemberLanguage, Ao language]
  • A. Wa language
    The Wa language is a Mon–Khmer language spoken primarily by the Wa people in parts of Myanmar and China.
  • B. Ho language
    Ho language is an Austroasiatic language of the Munda family spoken primarily by the Ho people in eastern India, particularly in Jharkhand and Odisha.
  • C. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • D. Ha language
    Ha language is a Bantu language spoken primarily by the Ha people in western Tanzania, particularly around the shores of Lake Tanganyika.
  • E. Ga language
    The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
  • 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: Ao language
Triple: [Bodo–Konyak–Jingpho branch, hasMemberLanguage, Ao language]
Generated description
Ao language is a Sino-Tibetan language spoken primarily by the Ao Naga people in Nagaland, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ao language
Target entity description: Ao language is a Sino-Tibetan language spoken primarily by the Ao Naga people in Nagaland, India.
  • A. Wa language
    The Wa language is a Mon–Khmer language spoken primarily by the Wa people in parts of Myanmar and China.
  • B. Ho language
    Ho language is an Austroasiatic language of the Munda family spoken primarily by the Ho people in eastern India, particularly in Jharkhand and Odisha.
  • C. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • D. Ha language
    Ha language is a Bantu language spoken primarily by the Ha people in western Tanzania, particularly around the shores of Lake Tanganyika.
  • E. Ga language
    The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64c0f688190a9b7482d86c2f033 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a331ff988190886bde89035623c0 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a46d95b88190bbadf3e8d1788489 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a52e6a1c8190bf45e0aa7a920baf completed March 28, 2026, 9:53 a.m.
Created at: March 27, 2026, 2:44 p.m.