Triple
T18588435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuzhou dialect |
E454297
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Changle District |
—
|
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: Changle District | Statement: [Fuzhou dialect, spokenIn, Changle District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changle District Context triple: [Fuzhou dialect, spokenIn, Changle District]
-
A.
Changle District
chosen
Changle District is a coastal urban district of Fuzhou in Fujian Province, China, known for its maritime economy and proximity to Fuzhou Changle International Airport.
-
B.
Lucheng District
Lucheng District is the central urban district and administrative seat of Changzhi, a prefecture-level city in Shanxi Province, China.
-
C.
Lucheng District
Lucheng District is the central urban district and administrative, commercial, and cultural core of Wenzhou in Zhejiang Province, China.
-
D.
Zhanqian District
Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning Province, China.
-
E.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.