Triple

T9192778
Position Surface form Disambiguated ID Type / Status
Subject Old Vietnamese E220629 entity
Predicate hasWritingSystem P454 FINISHED
Object Chữ Nôm E216880 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: Chữ Nôm | Statement: [Old Vietnamese, hasWritingSystem, Chữ Nôm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chữ Nôm
Context triple: [Old Vietnamese, hasWritingSystem, Chữ Nôm]
  • A. Chữ Nôm chosen
    Chữ Nôm is a historic logographic writing system that adapted and expanded Chinese characters to represent the Vietnamese language before the widespread adoption of the Latin-based quốc ngữ script.
  • B. Tai Viet script
    The Tai Viet script is an abugida used by various Tai-speaking ethnic groups in Vietnam, Laos, and Thailand to write their native Tai languages.
  • C. Vietnamese alphabet
    The Vietnamese alphabet is a modern Latin-based writing system that uses additional diacritics to represent the tones and specific sounds of the Vietnamese language.
  • D. Tai Nüa script
    The Tai Nüa script is an abugida used primarily by the Tai Nüa (Dai) people of China and Southeast Asia to write the Tai Nüa language.
  • E. Zhuyin
    Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.