Triple
T18288168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiaojiang River system |
E438036
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Taizhou |
—
|
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: Taizhou | Statement: [Jiaojiang River system, hasMouthNear, Taizhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taizhou Context triple: [Jiaojiang River system, hasMouthNear, Taizhou]
-
A.
Taizhou
Taizhou is a prefecture-level city in eastern China known for its historical heritage and location along the Yangtze River in Jiangsu province.
-
B.
Taizhou
chosen
Taizhou is a coastal prefecture-level city in eastern China known for its manufacturing industry, port facilities, and location along the East China Sea.
-
C.
Wenzhou
Wenzhou is a major coastal city in southeastern Zhejiang Province, China, known for its entrepreneurial culture, export-driven economy, and large overseas Chinese community.
-
D.
Zhoushan City
Zhoushan City is a prefecture-level port city in Zhejiang Province, China, comprising a large archipelago and serving as a major maritime and fishing hub in the East China Sea.
-
E.
Lúzhōu
Lúzhōu is the standard Hanyu Pinyin romanization of the Chinese city name Luzhou.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fc49b88190bd5b562e0a959e9d |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.