Triple
T30155392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 长江 |
E766507
|
entity |
| Predicate | 流经区域 |
P69640
|
FINISHED |
| Object | 青海省 |
—
|
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: 青海省 | Statement: [长江, 流经区域, 青海省]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 流经区域 Context triple: [长江, 流经区域, 青海省]
-
A.
watercourseThroughRegion
chosen
Indicates that a watercourse (such as a river or stream) passes through or traverses a specified region.
-
B.
waterwayThrough
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
-
C.
isRegionalRiver
Indicates that a river is classified as a regional river, typically limited in geographic extent and significance to a specific region rather than being a major or national waterway.
-
D.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
E.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed72fb08190955d6bfd90dd3b8e |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:20 p.m.