Triple
T18588380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leizhou Min |
E454296
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Zhanjiang area |
—
|
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: Zhanjiang area | Statement: [Leizhou Min, spokenIn, Zhanjiang area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhanjiang area Context triple: [Leizhou Min, spokenIn, Zhanjiang area]
-
A.
Zhanjiang
chosen
Zhanjiang is a coastal city in southwestern Guangdong, China, known for its important port, maritime industries, and strategic location on the Leizhou Peninsula.
-
B.
Jiangmen
Jiangmen is a coastal prefecture-level city in Guangdong Province, China, known as part of the Pearl River Delta economic region and historically as a major source of overseas Chinese emigration.
-
C.
Huangsha area
The Huangsha area is a commercial and transportation hub in Guangzhou, China, known for its markets, riverfront location, and connectivity via the metro system.
-
D.
Nanhai
Nanhai is an alternative name for Nanhai Lake, a notable body of water often associated with scenic and cultural significance in its region.
-
E.
Maoming
Maoming is a coastal city in southwestern Guangdong, China, known for its petrochemical industry and agricultural production, especially lychees and longans.
- 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.