Triple
T13428760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai |
E313551
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Tai Dón
Tai Dón is a Southwestern Tai language spoken primarily by the White Tai people in parts of Vietnam, Laos, and China.
|
E1038461
|
NE FINISHED |
How this triple was built (4 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 Dón | Statement: [Tai, hasMemberLanguage, Tai Dón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tai Dón Context triple: [Tai, hasMemberLanguage, Tai Dón]
-
A.
Taió
Taió is a municipality in the state of Santa Catarina in southern Brazil, situated in the Vale do Itajaí region and known for its agricultural activities and scenic river landscapes.
-
B.
Tai Mao
Tai Mao is a dialect of the Shan language spoken by Tai ethnic communities, particularly in parts of Myanmar and neighboring regions.
-
C.
Tain
Tain is a historic town in the Highlands of Scotland, known as one of the country’s oldest royal burghs and a regional administrative and judicial center.
-
D.
Tú
"Tú" is a popular Spanish-language pop-rock song by Colombian singer Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tai Dón Triple: [Tai, hasMemberLanguage, Tai Dón]
Generated description
Tai Dón is a Southwestern Tai language spoken primarily by the White Tai people in parts of Vietnam, Laos, and China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tai Dón Target entity description: Tai Dón is a Southwestern Tai language spoken primarily by the White Tai people in parts of Vietnam, Laos, and China.
-
A.
Taió
Taió is a municipality in the state of Santa Catarina in southern Brazil, situated in the Vale do Itajaí region and known for its agricultural activities and scenic river landscapes.
-
B.
Tai Mao
Tai Mao is a dialect of the Shan language spoken by Tai ethnic communities, particularly in parts of Myanmar and neighboring regions.
-
C.
Tain
Tain is a historic town in the Highlands of Scotland, known as one of the country’s oldest royal burghs and a regional administrative and judicial center.
-
D.
Tú
"Tú" is a popular Spanish-language pop-rock song by Colombian singer Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
-
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. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:40 p.m.