Triple
T3578737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroni River |
E75748
|
entity |
| Predicate | roleInEnergySystem |
P40849
|
FINISHED |
| Object | main source of hydroelectric power in Venezuela |
—
|
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: main source of hydroelectric power in Venezuela | Statement: [Caroni River, roleInEnergySystem, main source of hydroelectric power in Venezuela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInEnergySystem Context triple: [Caroni River, roleInEnergySystem, main source of hydroelectric power in Venezuela]
-
A.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
-
B.
hasEnergyRole
chosen
Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
-
C.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
D.
roleInEcosystem
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
E.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0defe14819095a337a840e33300 |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.