Triple

T6098848
Position Surface form Disambiguated ID Type / Status
Subject Wolio language E135943 entity
Predicate closelyRelatedTo P37 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: [Wolio language, closelyRelatedTo, Lasalimu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasalimu language
Context triple: [Wolio language, closelyRelatedTo, 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. 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.
  • E. Kalasha language
    The Kalasha language is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of Chitral District in northern Pakistan.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.