Triple
T315531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Wayne Assembly |
E7696
|
entity |
| Predicate | hasEnergyManagement |
P11923
|
FINISHED |
| Object | industrial energy efficiency initiatives |
—
|
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: industrial energy efficiency initiatives | Statement: [Fort Wayne Assembly, hasEnergyManagement, industrial energy efficiency initiatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergyManagement Context triple: [Fort Wayne Assembly, hasEnergyManagement, industrial energy efficiency initiatives]
-
A.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
B.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
C.
designEnergy
Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another entity.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea6462148190825acc57f6d2adaf |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e943f12c8190883854aeed974260 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.