Triple
T37029489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujitsu ESPRIMO PCs |
E916447
|
entity |
| Predicate | energyStandard |
P187468
|
FINISHED |
| Object | ENERGY STAR compliant models |
—
|
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: ENERGY STAR compliant models | Statement: [Fujitsu ESPRIMO PCs, energyStandard, ENERGY STAR compliant models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyStandard Context triple: [Fujitsu ESPRIMO PCs, energyStandard, ENERGY STAR compliant models]
-
A.
energyUtilization
Indicates how effectively an entity uses available energy to perform work or sustain its functions.
-
B.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
energyImplication
Indicates that one state, action, or condition entails or leads to a particular outcome in terms of energy use, transfer, or impact.
-
D.
usesElectricityStandard
Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
-
E.
energyEfficiencyList
Indicates that an entity is included in a list or classification based on its level of energy efficiency.
- F. None of above. chosen
Provenance (4 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:14 p.m.