Triple

T9051629
Position Surface form Disambiguated ID Type / Status
Subject Bahnaric E216896 entity
Predicate relatedTo P37 FINISHED
Object Mon-Khmer languages E41506 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: Mon-Khmer languages | Statement: [Bahnaric, relatedTo, Mon-Khmer languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mon-Khmer languages
Context triple: [Bahnaric, relatedTo, Mon-Khmer languages]
  • A. Mon-Khmer chosen
    Mon-Khmer is a major branch of the Austroasiatic language family that includes numerous languages spoken across mainland Southeast Asia and parts of South Asia.
  • B. Bahnaric languages
    The Bahnaric languages are a group of related Austroasiatic languages spoken primarily by indigenous communities in Vietnam, Laos, and Cambodia.
  • C. Hmongic languages
    Hmongic languages are a branch of the Hmong-Mien language family spoken primarily by Hmong and related ethnic groups in southern China and Southeast Asia.
  • D. Vietic languages
    Vietic languages are a branch of the Austroasiatic language family spoken primarily in Vietnam and neighboring areas, encompassing Vietnamese and several closely related minority languages.
  • E. Khmer
    Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a700de48190aa9f61d850e01cbd completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdbd54848190ba79d873321f4fc9 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:10 p.m.