Triple
T12661096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yandang Mountains |
E302425
|
entity |
| Predicate | locatedInOrNear |
P40
|
FINISHED |
| Object | Yueqing |
E835777
|
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: Yueqing | Statement: [Yandang Mountains, locatedInOrNear, Yueqing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yueqing Context triple: [Yandang Mountains, locatedInOrNear, Yueqing]
-
A.
Yueqing
chosen
Yueqing is a county-level coastal city administered by Wenzhou in Zhejiang Province, China, known for its manufacturing industry and economic vitality.
-
B.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
-
C.
Lishui
Lishui is a mountainous, scenic prefecture-level city in southwestern Zhejiang Province, China, known for its rich biodiversity and eco-tourism.
-
D.
Dōngguǎn
Dōngguǎn is a major industrial and manufacturing city in Guangdong Province, China, known for its extensive export-oriented factories and role in the Pearl River Delta economic region.
-
E.
Jiande
Jiande is a county-level city in Zhejiang Province, China, known for its scenic landscapes along the Fuchun River and its mix of historical and modern urban development.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719de0908190bbc9a98e67e5b6eb |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:19 p.m.