Triple
T32497709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South–North Water Transfer Project |
E830572
|
entity |
| Predicate | affectsRiverBasin |
P105164
|
FINISHED |
| Object | Yellow River basin |
—
|
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: Yellow River basin | Statement: [South–North Water Transfer Project, affectsRiverBasin, Yellow River basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsRiverBasin Context triple: [South–North Water Transfer Project, affectsRiverBasin, Yellow River basin]
-
A.
basinAffectedBy
Indicates that a basin is influenced or impacted by another entity, process, or event.
-
B.
associatedRiverBasin
Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
-
C.
influenceOnRivers
chosen
Indicates the effect or impact that one entity has on the state, behavior, or condition of rivers.
-
D.
hasRiverInfluence
Indicates that one entity affects or is affected by a river in terms of its characteristics, behavior, or conditions.
-
E.
resourceBasin
Indicates a relationship where a basin serves as a source or reservoir of resources for another entity or area.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: May 1, 2026, 12:59 a.m.