Triple
T9192291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waic |
E220618
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Menglian Wa |
E783480
|
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: Menglian Wa | Statement: [Waic, hasSubgroup, Menglian Wa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menglian Wa Context triple: [Waic, hasSubgroup, Menglian Wa]
-
A.
Tuizhi
Tuizhi is the courtesy name of Han Yu, a prominent Tang dynasty Confucian scholar, essayist, and poet known for advocating classical prose.
-
B.
Diqing
Diqing is an autonomous prefecture in northwestern Yunnan Province, China, known for its Tibetan culture, high-altitude landscapes, and proximity to the eastern Himalayas.
-
C.
Ximoluo
chosen
Ximoluo is a subgroup of the Waic peoples, an ethnolinguistic cluster within the broader Tai-speaking communities of Southeast Asia.
-
D.
Qichao
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
-
E.
Daliang
Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065d5e81c8190b6687999a87fd559 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:24 p.m.