Triple

T802244
Position Surface form Disambiguated ID Type / Status
Subject Cambodia E17153 entity
Predicate writingSystem P454 FINISHED
Object Khmer script E41507 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 script | Statement: [Cambodia, writingSystem, Khmer script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khmer script
Context triple: [Cambodia, writingSystem, Khmer script]
  • A. Khmer script chosen
    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.
  • B. Lao script
    Lao script is an abugida writing system of the Tai-Kadai language family, primarily used to write the Lao language and closely related to the Thai script.
  • C. Burmese script
    The Burmese script is an abugida used for writing the Burmese language and several other languages of Myanmar, characterized by its rounded letters and Indic origins.
  • D. 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.
  • E. Balinese script
    Balinese script is an abugida used primarily on the Indonesian island of Bali for writing the Balinese language, as well as liturgical and historical texts in Sanskrit and Old Javanese.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9e0f0081909d2a89387d6c08e1 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d818e208190a8f3b165c0770e09 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.