Triple
T36666809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiira Power Station |
E905286
|
entity |
| Predicate | regulatesFlowWith |
P14466
|
FINISHED |
| Object | Nalubaale Power Station |
—
|
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: Nalubaale Power Station | Statement: [Kiira Power Station, regulatesFlowWith, Nalubaale Power Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesFlowWith Context triple: [Kiira Power Station, regulatesFlowWith, Nalubaale Power Station]
-
A.
regulatesFlowFor
Indicates that one entity controls, directs, or manages the rate or movement of another entity’s flow.
-
B.
regulatesFlowBetween
Indicates a relationship where one entity controls, directs, or modulates the movement or transfer of something (such as material, energy, or information) between two other entities.
-
C.
regulatesFlowNear
Indicates that one entity controls, influences, or manages the movement or rate of flow of another entity in its nearby vicinity.
-
D.
regulatesOutflowOf
Indicates that one entity controls, modulates, or governs the rate or amount of outflow from another entity.
-
E.
regulatesWith
chosen
Indicates that one entity controls, modulates, or influences the activity, state, or behavior of another entity through some regulatory mechanism or interaction.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:12 p.m.