Triple
T3871108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara Falls AC power project |
E92386
|
entity |
| Predicate | hasEnergySourceType |
P5332
|
FINISHED |
| Object | renewable energy |
—
|
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: renewable energy | Statement: [Niagara Falls AC power project, hasEnergySourceType, renewable energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergySourceType Context triple: [Niagara Falls AC power project, hasEnergySourceType, renewable energy]
-
A.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
B.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
-
C.
hasEnergyRole
Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
-
D.
hasRenewableEnergy
Indicates that an entity possesses or utilizes energy derived from renewable sources.
-
E.
hasRenewableEnergySystem
Indicates that an entity is equipped with or utilizes a system that generates energy from renewable sources.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec54b0848190a8d4a0e4df7b6227 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.