Triple
T22569608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongba religion |
E558043
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Lijiang |
—
|
NE NERFINISHED |
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: [Dongba religion, region, Lijiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lijiang Context triple: [Dongba religion, region, Lijiang]
-
A.
Lijiang
chosen
Lijiang is a historic city in Yunnan, China, renowned for its well-preserved Old Town, diverse ethnic cultures, and scenic mountain landscapes.
-
B.
Yuxi
Yuxi is a prefecture-level city in central Yunnan Province, China, known for its tobacco production and scenic plateau lake landscapes.
-
C.
Chengdian
Chengdian is the commonly used short name for the University of Electronic Science and Technology of China, a leading Chinese university renowned for its strengths in electronics, information technology, and engineering.
-
D.
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.
-
E.
Ruili
Ruili is a border city in southwestern Yunnan, China, known as a key gateway for trade and cultural exchange with Myanmar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fac7db08190ba4660535571498d |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.