Triple
T11346280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuluksak, Alaska |
E268720
|
entity |
| Predicate | electricPowerSource |
P95815
|
FINISHED |
| Object | diesel generators |
—
|
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: diesel generators | Statement: [Tuluksak, Alaska, electricPowerSource, diesel generators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricPowerSource Context triple: [Tuluksak, Alaska, electricPowerSource, diesel generators]
-
A.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
B.
electricalPower
Indicates that one entity supplies, carries, or is associated with electrical power to or for another entity.
-
C.
energyGenerationMechanism
chosen
Indicates the method or process by which energy is produced or generated by an entity.
-
D.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
E.
typeOfElectricity
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.