Triple

T6381801
Position Surface form Disambiguated ID Type / Status
Subject Wotu–Wolio languages E143599 entity
Predicate haveMember P7638 FINISHED
Object Lasalimu language E170583 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: Lasalimu language | Statement: [Wotu–Wolio languages, haveMember, Lasalimu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasalimu language
Context triple: [Wotu–Wolio languages, haveMember, Lasalimu language]
  • A. Lasalimu language chosen
    The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
  • B. Uma’ Lasan language
    The Uma’ Lasan language is an Austronesian language of the Kayanic subgroup spoken by an indigenous community in Borneo.
  • C. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • D. Lundayeh language
    The Lundayeh language is an Austronesian language spoken by the Lundayeh (Lun Bawang) people of northern Borneo, primarily in parts of Malaysia and Indonesia.
  • E. Salar language
    The Salar language is a Turkic language spoken primarily by the Salar people in northwestern China, notable for its Oghuz roots and heavy influence from Chinese and Tibetan.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685385948190938b67bff671072b completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62db397f48190bc4533ce26b27a55 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:34 p.m.