Triple
T4143133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRIGA research reactor |
E89319
|
entity |
| Predicate | hasTypicalPowerRange |
P1457
|
FINISHED |
| Object | from a few kilowatts to several megawatts thermal |
—
|
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: from a few kilowatts to several megawatts thermal | Statement: [TRIGA research reactor, hasTypicalPowerRange, from a few kilowatts to several megawatts thermal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalPowerRange Context triple: [TRIGA research reactor, hasTypicalPowerRange, from a few kilowatts to several megawatts thermal]
-
A.
typicalEnergyRange
chosen
Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
-
B.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
C.
hasPowerRegulator
Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
-
D.
vehiclePower
Indicates the amount or type of power a vehicle can produce or is rated to deliver.
-
E.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.