Triple

T20308238
Position Surface form Disambiguated ID Type / Status
Subject Jarai people E510161 entity
Predicate language P15 FINISHED
Object Jarai language 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: Jarai language | Statement: [Jarai people, language, Jarai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarai language
Context triple: [Jarai people, language, Jarai language]
  • A. Jarai language chosen
    The Jarai language is an Austronesian language spoken by the Jarai people of Vietnam’s Central Highlands and neighboring Cambodia.
  • B. Jahai language
    The Jahai language is an indigenous Mon–Khmer language spoken by the Jahai people, a small hunter-gatherer community in the Malay Peninsula.
  • C. Batui language
    The Batui language is an Austronesian language spoken in Central Sulawesi, Indonesia, and is part of the Saluan–Banggai subgroup.
  • D. Bariai language
    The Bariai language is an Austronesian language spoken by the Bariai people of New Britain in Papua New Guinea.
  • E. Tagin language
    The Tagin language is a Tani (Tibeto-Burman) language spoken primarily by the Tagin people of Arunachal Pradesh in northeastern 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677411cf08190ba7e98a4135b643a completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.