Triple
T24356395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irkutsk Hydroelectric Power Station |
E613933
|
entity |
| Predicate | affectsWaterLevelOf |
P135236
|
FINISHED |
| Object | Lake Baikal |
—
|
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: Lake Baikal | Statement: [Irkutsk Hydroelectric Power Station, affectsWaterLevelOf, Lake Baikal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsWaterLevelOf Context triple: [Irkutsk Hydroelectric Power Station, affectsWaterLevelOf, Lake Baikal]
-
A.
affectsWaterBody
Indicates that one entity has an impact on the condition, quality, or state of a water body.
-
B.
controlsWaterLevelOf
Indicates that one entity has the ability or authority to regulate or adjust the water level of another entity or system.
-
C.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
D.
raisesWaterway
chosen
Indicates that one entity elevates or increases the level, height, or flow of a waterway relative to another entity or state.
-
E.
hasNormalWaterLevel
Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29349ee188190a9d54b2c725b8a27 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.