Triple
T33611949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pubugou Dam |
E861010
|
entity |
| Predicate | isHydropowerStationOn |
P58561
|
FINISHED |
| Object | Dadu River |
—
|
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: Dadu River | Statement: [Pubugou Dam, isHydropowerStationOn, Dadu River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHydropowerStationOn Context triple: [Pubugou Dam, isHydropowerStationOn, Dadu River]
-
A.
hasHydropowerRoleIn
Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
-
B.
isHydroelectricProjectOn
chosen
Indicates that a hydroelectric project is located on or situated along a specified water body or site.
-
C.
hasHydroelectricInfrastructureNearby
Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
-
D.
isHydroelectricallyDeveloped
Indicates that an entity has been developed to generate electricity using hydropower infrastructure or facilities.
-
E.
numberOfHydroelectricStations
Indicates the quantity of hydroelectric power stations associated with a given entity.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f7e34e8c819089dc407a13cc60f0 |
completed | May 3, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.