Triple
T13428435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Lue language |
E313543
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
ᦅᧄᦺᦑᦟᦹᧉ
ᦅᧄᦺᦑᦟᦹᧉ is the endonym (native name) used by speakers of the Tai Lue language, a Tai-Kadai language spoken primarily in parts of China and Southeast Asia.
|
E1038448
|
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: ᦅᧄᦺᦑᦟᦹᧉ | Statement: [Tai Lue language, nativeName, ᦅᧄᦺᦑᦟᦹᧉ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ᦅᧄᦺᦑᦟᦹᧉ Context triple: [Tai Lue language, nativeName, ᦅᧄᦺᦑᦟᦹᧉ]
-
A.
Haad Yao
Haad Yao is a popular long sandy beach on the northwest coast of Ko Pha Ngan in Thailand, known for its clear waters, sunsets, and relaxed atmosphere.
-
B.
Pa-Hng
Pa-Hng is a minority Hmong-Mien language spoken by small ethnic communities in parts of southern China and Southeast Asia.
-
C.
Hua Zhuang
Hua Zhuang is a subway station in Beijing that serves as a terminus on the city's Line 7.
-
D.
Boon Hua
Boon Hua is the given name of Ong Boon Hua, better known as Chin Peng, the former leader of the Malayan Communist Party.
-
E.
Wapichan
Wapichan is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
- 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: ᦅᧄᦺᦑᦟᦹᧉ Triple: [Tai Lue language, nativeName, ᦅᧄᦺᦑᦟᦹᧉ]
Generated description
ᦅᧄᦺᦑᦟᦹᧉ is the endonym (native name) used by speakers of the Tai Lue language, a Tai-Kadai language spoken primarily in parts of China and Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ᦅᧄᦺᦑᦟᦹᧉ Target entity description: ᦅᧄᦺᦑᦟᦹᧉ is the endonym (native name) used by speakers of the Tai Lue language, a Tai-Kadai language spoken primarily in parts of China and Southeast Asia.
-
A.
Haad Yao
Haad Yao is a popular long sandy beach on the northwest coast of Ko Pha Ngan in Thailand, known for its clear waters, sunsets, and relaxed atmosphere.
-
B.
Pa-Hng
Pa-Hng is a minority Hmong-Mien language spoken by small ethnic communities in parts of southern China and Southeast Asia.
-
C.
Hua Zhuang
Hua Zhuang is a subway station in Beijing that serves as a terminus on the city's Line 7.
-
D.
Boon Hua
Boon Hua is the given name of Ong Boon Hua, better known as Chin Peng, the former leader of the Malayan Communist Party.
-
E.
Wapichan
Wapichan is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
- 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_69dbaed1f9208190bf5ef5b8a7ded376 |
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.