Triple

T9192464
Position Surface form Disambiguated ID Type / Status
Subject Katuic branch E220622 entity
Predicate hasLanguage P15 FINISHED
Object Ta’Oih language E775523 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: Ta’Oih language | Statement: [Katuic branch, hasLanguage, Ta’Oih language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ta’Oih language
Context triple: [Katuic branch, hasLanguage, Ta’Oih language]
  • A. Ta Oi language chosen
    The Ta Oi language is an Austroasiatic language spoken by the Ta Oi people in parts of Laos and Vietnam, belonging to the Katuic branch.
  • B. Umphai language
    The Umphai language is a lesser-known Tai language spoken by an ethnic minority community in Southeast Asia, classified within the Waic branch of the Tai language family.
  • C. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • D. Ta-ang language
    The Ta-ang language is a Mon–Khmer language spoken primarily by the Ta-ang (Palaung) ethnic group in parts of Myanmar, China, and neighboring regions.
  • E. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d100b451c88190aae0ef240906ce0c completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 7:24 p.m.