Triple

T22296624
Position Surface form Disambiguated ID Type / Status
Subject Jarawan languages E551137 entity
Predicate hasMember P10 FINISHED
Object Kulung language (Jarawan) NE NERFINISHED

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: Kulung language (Jarawan) | Statement: [Jarawan languages, hasMember, Kulung language (Jarawan)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kulung language (Jarawan)
Context triple: [Jarawan languages, hasMember, Kulung language (Jarawan)]
  • A. Kulung language chosen
    The Kulung language is a Sino-Tibetan language spoken by the Kulung people of eastern Nepal, belonging to the Kiranti branch and known for its complex verbal morphology.
  • B. Kulon language
    The Kulon language is an extinct and poorly documented Austronesian language once spoken by an indigenous group in Taiwan, classified within the Formosan branch.
  • C. Jarawan languages
    Jarawan languages are a small group of Bantoid (often considered Bantu-related) languages spoken primarily in parts of Nigeria and Cameroon.
  • D. Kangjia language
    The Kangjia language is a lesser-known Mongolic language spoken by the Kangjia people in parts of northwestern China.
  • E. Kullui language
    Kullui is an Indo-Aryan language spoken primarily in the Kullu Valley of Himachal Pradesh, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15720fba0819080f6c96f6df4f1e0 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.