Triple

T764271
Position Surface form Disambiguated ID Type / Status
Subject Nicobarese E16139 entity
Predicate isPartOf P10 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: [Nicobarese, isPartOf, Mon–Khmer languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mon–Khmer languages
Context triple: [Nicobarese, isPartOf, 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. Austroasiatic
    Austroasiatic is a large and ancient language family of mainland Southeast Asia and parts of South Asia, including languages such as Khmer, Vietnamese, and Mon.
  • C. Tai–Kadai languages
    The Tai–Kadai languages are a major language family of Southeast Asia that includes Thai, Lao, and related languages spoken across mainland and parts of southern China.
  • D. Khmer
    Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
  • E. Sino-Tibetan languages
    The Sino-Tibetan languages are a major language family of East, Southeast, and South Asia that includes Chinese, Tibetan, Burmese, and numerous related languages spoken by over a billion people.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69dfeb08190b54a476cfa66e6d6 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a666760a4c8190afd00dbfc263be28 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.