Triple
T20418135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampa Electric Company |
E500766
|
entity |
| Predicate | usesRenewableEnergySource |
P25654
|
FINISHED |
| Object | solar 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: solar energy | Statement: [Tampa Electric Company, usesRenewableEnergySource, solar energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRenewableEnergySource Context triple: [Tampa Electric Company, usesRenewableEnergySource, solar energy]
-
A.
hasRenewableEnergy
chosen
Indicates that an entity possesses or utilizes energy derived from renewable sources.
-
B.
hasRenewableEnergySystem
Indicates that an entity is equipped with or utilizes a system that generates energy from renewable sources.
-
C.
hasRenewableEnergyPotential
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
-
D.
hasRenewableEnergyProjects
Indicates that an entity is involved in, owns, or implements one or more projects that generate or utilize renewable energy.
-
E.
isRenewableEnergyFacility
Indicates that a facility generates energy from renewable sources such as solar, wind, hydro, or other naturally replenished resources.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.