Triple

T1945985
Position Surface form Disambiguated ID Type / Status
Subject Austroasiatic E42054 entity
Predicate hasNationalLanguage P17042 FINISHED
Object Khmer E6451 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: Khmer | Statement: [Austroasiatic, hasNationalLanguage, Khmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khmer
Context triple: [Austroasiatic, hasNationalLanguage, Khmer]
  • A. Khmer chosen
    Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
  • B. Mon-Khmer
    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.
  • C. Khmer Reamker
    Khmer Reamker is the Cambodian epic poem and national literary classic that adapts the Indian Ramayana into Khmer cultural, religious, and artistic traditions.
  • D. Khmer script
    Khmer script is an abugida writing system used primarily for the Khmer language of Cambodia, characterized by its intricate consonant and vowel symbols derived from the ancient Brahmi script.
  • E. Mon Khmer
    Mon Khmer is a major branch of the Austroasiatic language family, encompassing numerous languages spoken primarily in mainland Southeast Asia.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb300af2481908ae359972843c1ef completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71a548408190b8c8c97c94336e2d completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:36 p.m.