Triple
T14578126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tieshangang District |
E342111
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Beihai City |
E56871
|
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: Beihai City | Statement: [Tieshangang District, partOf, Beihai City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beihai City Context triple: [Tieshangang District, partOf, Beihai City]
-
A.
Beihai
chosen
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.
Qinzhou
Qinzhou is a coastal prefecture-level city in southern China known for its port, maritime industries, and location along the Gulf of Tonkin in the Guangxi Zhuang Autonomous Region.
-
C.
Wanning
Wanning is a county-level coastal city in southeastern Hainan, China, known for its tropical climate, beaches, and surf-friendly bays.
-
D.
Beihai Haicheng District
Beihai Haicheng District is a central urban district of Beihai City in Guangxi, China, known as an administrative and commercial hub along the Gulf of Tonkin.
-
E.
Laohekou City
Laohekou City is a county-level city in northwestern Hubei Province, China, known as a regional transport and commercial hub under the administration of Xiangyang.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b832b08190965b727baa700403 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.