Triple
T10452314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongqi Bridge |
E246456
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Qidong |
E141797
|
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: Qidong | Statement: [Chongqi Bridge, connects, Qidong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qidong Context triple: [Chongqi Bridge, connects, Qidong]
-
A.
Qidong County
Qidong County is an administrative county in Hunan Province, China, governed by the prefecture-level city of Hengyang.
-
B.
Lianyungang
Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
-
C.
Danzhou
Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic center.
-
D.
Yancheng
chosen
Yancheng is a coastal prefecture-level city in eastern China known for its wetlands, nature reserves, and rapidly developing economy.
-
E.
Dongqing
Dongqing is a coastal village on Orchid Island in Taiwan, known for its indigenous Tao culture and scenic Pacific shoreline.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0b7bb481908182c7b9a80af3b3 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fb27f5081909e78bd8029e65948 |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:17 p.m.