Triple
T5287474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Coastal Current |
E119654
|
entity |
| Predicate | path |
P5619
|
FINISHED |
| Object | from Bohai Sea and northern Yellow Sea toward East China Sea |
—
|
LITERAL 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: from Bohai Sea and northern Yellow Sea toward East China Sea | Statement: [China Coastal Current, path, from Bohai Sea and northern Yellow Sea toward East China Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: path Context triple: [China Coastal Current, path, from Bohai Sea and northern Yellow Sea toward East China Sea]
-
A.
route
chosen
Indicates that one entity serves as a path or course used to travel or move between locations associated with another entity.
-
B.
ultimatePathTo
Indicates that one entity represents the final, most fundamental, or decisive route, method, or means by which another entity is reached or achieved.
-
C.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
D.
par
Indicates that two entities are parallel to each other in space or direction.
-
E.
routeBetween
Indicates that there exists a path or connection enabling travel or communication between two locations or points.
- F. None of above.
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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.