Triple

T322856
Position Surface form Disambiguated ID Type / Status
Subject Khmer E6451 entity
Predicate historicalAncestor P1823 FINISHED
Object Old 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: Old Khmer | Statement: [Khmer, historicalAncestor, Old Khmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Khmer
Context triple: [Khmer, historicalAncestor, Old Khmer]
  • A. 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.
  • B. Khmer chosen
    Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
  • 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. Prey Nokor
    Prey Nokor was a historic Khmer port city that later developed into the Vietnamese metropolis now known as Ho Chi Minh City (formerly Saigon).
  • E. Old Malay
    Old Malay is an early historical form of the Malay language that served as a major lingua franca and literary language in maritime 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea82ba748190bae651f5de908617 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7e47f1c8190a4152dcb5c662514 completed March 1, 2026, 6:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.