Triple
T30155383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 长江 |
E766507
|
entity |
| Predicate | 流经国家数量 |
P127828
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [长江, 流经国家数量, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 流经国家数量 Context triple: [长江, 流经国家数量, 1]
-
A.
hasNumberOfRivers
Indicates the quantitative relationship specifying how many rivers are associated with a given entity.
-
B.
transboundaryRiverOf
Indicates that a river crosses or forms the boundary between two or more political or administrative regions.
-
C.
borderedByCountryAcrossRiver
Indicates that one country shares a border with another country, with the boundary specifically formed or separated by a river.
-
D.
transboundaryBasin
Indicates that a river basin or watershed extends across and is shared by the territories of two or more political or administrative jurisdictions.
-
E.
flowsThroughCountryRegion
chosen
Indicates that a river, stream, or similar watercourse passes through or traverses the territory of a specified country or region.
- 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.