Triple
T16027733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manokotak, Alaska |
E388759
|
entity |
| Predicate | energySourceCommon |
P93282
|
FINISHED |
| Object | diesel-generated electricity |
—
|
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-generated electricity | Statement: [Manokotak, Alaska, energySourceCommon, diesel-generated electricity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySourceCommon Context triple: [Manokotak, Alaska, energySourceCommon, diesel-generated electricity]
-
A.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
B.
energyHub
Indicates a central entity that collects, manages, and distributes energy or power among connected entities or systems.
-
C.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
D.
usesEnergyFrom
chosen
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
E.
energyGenerationMechanism
Indicates the method or process by which energy is produced or generated by an 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.