Triple
T2234893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwang-Chou-Wan |
E49256
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Qinzhou Bay |
E199389
|
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: Qinzhou Bay | Statement: [Kwang-Chou-Wan, locatedIn, Qinzhou Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qinzhou Bay Context triple: [Kwang-Chou-Wan, locatedIn, Qinzhou Bay]
-
A.
Beihai
Beihai is a coastal city in China's Guangxi Zhuang Autonomous Region, known for its beaches, maritime trade, and the scenic Silver Beach tourist area.
-
B.
Beibu Wan
chosen
Beibu Wan is the Chinese name for the Gulf of Tonkin, a large body of water in the South China Sea bordered by China and Vietnam.
-
C.
Yalong Bay
Yalong Bay is a popular tropical beach resort area on the southern coast of Hainan Island in China, known for its white sand beaches, clear waters, and upscale hotels.
-
D.
Nanhai Lake
Nanhai Lake is one of the central ornamental lakes within the Zhongnanhai leadership compound in Beijing, historically part of the imperial gardens adjacent to the Forbidden City.
-
E.
Tien Sa Port
Tien Sa Port is a major deep-water seaport in Da Nang, Vietnam, serving as a key hub for cargo shipping and cruise tourism in the central region.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09297a481909e8fe6ec645de616 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b068a388190962114f3798ef4f9 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.