Triple
T5983373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naxi language |
E133170
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Lijiang |
E193113
|
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: Lijiang | Statement: [Naxi language, region, Lijiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lijiang Context triple: [Naxi language, region, Lijiang]
-
A.
Yuxi
Yuxi is a prefecture-level city in central Yunnan Province, China, known for its tobacco production and scenic plateau lake landscapes.
-
B.
Chuxiong
Chuxiong is a county-level city in central Yunnan Province, China, known as the seat of the Chuxiong Yi Autonomous Prefecture and for its significant Yi ethnic culture.
-
C.
Zhaotong
Zhaotong is a prefecture-level city in northeastern Yunnan Province, China, known as a transport hub and gateway between Yunnan and the neighboring provinces of Sichuan and Guizhou.
-
D.
Old Town of Lijiang
chosen
The Old Town of Lijiang is a well-preserved ancient Chinese town famed for its traditional Naxi architecture, intricate canal system, and historic role as a trading hub on the Tea Horse Road.
-
E.
Liupanshui
Liupanshui is a major industrial and mining city in western Guizhou Province, China, known for its coal resources, cool climate, and mountainous karst landscape.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6a9f2c8190b900cd7e3ab9fe42 |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e425c3e08190a87ced99d38c4f1d |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:04 p.m.