Triple

T931019
Position Surface form Disambiguated ID Type / Status
Subject Radio Free Asia E20091 entity
Predicate languageOfBroadcast P3314 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: [Radio Free Asia, languageOfBroadcast, Khmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khmer
Context triple: [Radio Free Asia, languageOfBroadcast, 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. Hmong
    Hmong is a Hmong-Mien language spoken by the Hmong people, many of whom are part of the Asian American community, with several dialects and a rich oral tradition.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34b302c81908fa32cb18f551493 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee1108188190a26c73864c697061 completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:40 p.m.