Triple

T9667612
Position Surface form Disambiguated ID Type / Status
Subject Utsat language E233744 entity
Predicate relatedTo P37 FINISHED
Object Jarai language E567234 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: Jarai language | Statement: [Utsat language, relatedTo, Jarai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarai language
Context triple: [Utsat language, relatedTo, 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 (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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3c06e4819080c1b8e66faa482f completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a208798819088db055e44d288e3 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.