Triple
T10579802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ready Teddy |
E249705
|
entity |
| Predicate | performanceEnergy |
P7394
|
FINISHED |
| Object | high-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: high-energy | Statement: [Ready Teddy, performanceEnergy, high-energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceEnergy Context triple: [Ready Teddy, performanceEnergy, high-energy]
-
A.
energyUtilization
Indicates how effectively an entity uses available energy to perform work or sustain its functions.
-
B.
energyUse
chosen
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
energyContribution
Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
-
D.
designEnergy
Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another entity.
-
E.
energyEfficiencyFeature
Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52759faa4819081c195488803ada9 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:38 p.m.