Triple
T13428761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai |
E313551
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Nung |
E907929
|
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: Nung | Statement: [Tai, hasMemberLanguage, Nung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nung Context triple: [Tai, hasMemberLanguage, Nung]
-
A.
Nung
chosen
The Nung are a Tai-speaking ethnic minority group in northern Vietnam known for their distinct language, traditional agriculture, and rich folk culture.
-
B.
Brennen
Brennen is a given name, typically used as a variant spelling of Brennan.
-
C.
Fumei
Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
-
D.
Hỏa Lò
Hỏa Lò is a historic prison in Hanoi, Vietnam, notorious for its use by French colonial authorities and later by North Vietnam to hold American prisoners of war, who dubbed it the "Hanoi Hilton."
-
E.
Bakar
Bakar is a historic coastal town and port on the Adriatic Sea in western Croatia.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730883cb48190add9469c48dc3e89 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:40 p.m.