Triple
T12749484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Khün |
E304691
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Tai Yai |
E304686
|
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: Tai Yai | Statement: [Tai Khün, relatedEthnicGroup, Tai Yai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tai Yai Context triple: [Tai Khün, relatedEthnicGroup, Tai Yai]
-
A.
Tai Yai
chosen
Tai Yai refers to the Shan people, a Tai ethnic group primarily inhabiting Myanmar’s Shan State and neighboring regions of Southeast Asia.
-
B.
Daji
Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
-
C.
Wayao
Wayao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Asia known for their distinct cultural traditions and languages.
-
D.
Feng-tien
Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
-
E.
Tai Shani
Tai Shani is a British contemporary artist known for her feminist, fantastical multimedia installations and as a joint winner of the 2019 Turner Prize.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd75f508190aaae0969f33d1523 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ee2ab4819099194d115d2e5a15 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:27 p.m.