Triple
T10920672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hlai languages |
E257936
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Meifu Hlai
Meifu Hlai is a variety of the Hlai (Li) language spoken by an indigenous community on Hainan Island in southern China.
|
E893909
|
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: Meifu Hlai | Statement: [Hlai languages, hasMember, Meifu Hlai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meifu Hlai Context triple: [Hlai languages, hasMember, Meifu Hlai]
-
A.
Xi Shi
Xi Shi is one of the legendary Four Beauties of ancient China, famed for her extraordinary beauty and prominent role in Chinese folklore and history.
-
B.
Peifu
Peifu is the given name of Wu Peifu, a prominent early 20th-century Chinese warlord and military leader of the Beiyang government era.
-
C.
Xiangmei
Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
-
D.
Mei Mei
Mei Mei is a confident and ribbon-dancing panda who serves as a prominent new character and love interest in the animated film "Kung Fu Panda 3."
-
E.
Yanxi
Yanxi was a regnal era of the Shu Han state during China’s Three Kingdoms period.
- 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: Meifu Hlai Triple: [Hlai languages, hasMember, Meifu Hlai]
Generated description
Meifu Hlai is a variety of the Hlai (Li) language spoken by an indigenous community on Hainan Island in southern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meifu Hlai Target entity description: Meifu Hlai is a variety of the Hlai (Li) language spoken by an indigenous community on Hainan Island in southern China.
-
A.
Xi Shi
Xi Shi is one of the legendary Four Beauties of ancient China, famed for her extraordinary beauty and prominent role in Chinese folklore and history.
-
B.
Peifu
Peifu is the given name of Wu Peifu, a prominent early 20th-century Chinese warlord and military leader of the Beiyang government era.
-
C.
Xiangmei
Xiangmei is the Chinese given name of Anna Chennault, a prominent Chinese-American journalist, author, and influential political figure in mid-20th-century U.S.-China relations.
-
D.
Mei Mei
Mei Mei is a confident and ribbon-dancing panda who serves as a prominent new character and love interest in the animated film "Kung Fu Panda 3."
-
E.
Yanxi
Yanxi was a regnal era of the Shu Han state during China’s Three Kingdoms period.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77082a1488190850a4409339c3e1e |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2171adbbc8190916a5463b6e5c186 |
completed | April 17, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69e21d8a2e6881909b33cbe4ab919315 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eaa1e9881909f3b276e0ff0c511 |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:22 p.m.