Triple
T4255178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yalong River |
E95955
|
entity |
| Predicate | hasHydropowerPotential |
P27462
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Yalong River, hasHydropowerPotential, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydropowerPotential Context triple: [Yalong River, hasHydropowerPotential, high]
-
A.
hydropowerPotential
chosen
Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
-
B.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
C.
hasGeothermalPotential
Indicates that an entity possesses conditions suitable for generating or exploiting geothermal energy.
-
D.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
E.
hydroelectricStationCapacity
Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.