Triple

T6245542
Position Surface form Disambiguated ID Type / Status
Subject Tsouic languages E139711 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Kanakanavu language E149481 NE FINISHED

How this triple was built (2 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: Kanakanavu language | Statement: [Tsouic languages, hasMemberLanguage, Kanakanavu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanakanavu language
Context triple: [Tsouic languages, hasMemberLanguage, Kanakanavu language]
  • A. Irula language
    Irula language is a Dravidian tribal language spoken primarily by the Irula people in parts of Tamil Nadu and Kerala in southern India.
  • B. Chenchu language
    The Chenchu language is a Dravidian tribal language spoken by the Chenchu people of India, primarily in the forests of Andhra Pradesh and Telangana.
  • C. Kavalan language chosen
    The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
  • D. Kumaoni language
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • E. Koasati language
    The Koasati language is an endangered Native American language traditionally spoken by the Coushatta people of the southeastern United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631d9e648190a59ab4001f506424 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e15e7e48190b8a79178243b01f6 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.