Triple

T576174
Position Surface form Disambiguated ID Type / Status
Subject Google Translate E13763 entity
Predicate availableLanguage P2177 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: [Google Translate, availableLanguage, Khmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khmer
Context triple: [Google Translate, availableLanguage, 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 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.
  • D. 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.
  • E. Lao
    Lao is the official and most widely spoken language of Laos, belonging to the Tai-Kadai language family and closely related to Thai.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4db0248190b2b3ca0290467313 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.