Triple

T5575452
Position Surface form Disambiguated ID Type / Status
Subject Bornean languages E146305 entity
Predicate includesLanguage P2177 FINISHED
Object Ngaju language E150506 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: Ngaju language | Statement: [Bornean languages, includesLanguage, Ngaju language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngaju language
Context triple: [Bornean languages, includesLanguage, Ngaju language]
  • A. Ngaju language chosen
    The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
  • B. Aja language
    The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
  • C. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • D. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • E. Kedayan language
    The Kedayan language is an Austronesian language spoken primarily by the Kedayan people of Brunei, Sabah, and parts of Borneo, closely related to Malay and other Greater North Borneo languages.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02067e8d8819090a006cb266da5fe completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02855acac8190bd00219aa9647e98 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.