Triple
T9050946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chữ Nôm |
E216880
|
entity |
| Predicate | nativeName |
P15
|
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: [Chữ Nôm, nativeName, Chữ Nôm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chữ Nôm Context triple: [Chữ Nôm, nativeName, 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc90bf88190bbcdab07ca93f569 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.