Triple
T28114121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furnas Centrais Elétricas |
E710571
|
entity |
| Predicate | energySegment |
P155368
|
FINISHED |
| Object | large-scale generation |
—
|
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: large-scale generation | Statement: [Furnas Centrais Elétricas, energySegment, large-scale generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySegment Context triple: [Furnas Centrais Elétricas, energySegment, large-scale generation]
-
A.
energyMarketSegment
chosen
Indicates the specific portion or category of the energy market to which an entity or transaction belongs.
-
B.
energyHub
Indicates a central entity that collects, manages, and distributes energy or power among connected entities or systems.
-
C.
energyRegime
Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
energyAspect
Indicates a relationship where one entity represents an aspect, component, or characteristic related to the energy properties or behavior of another 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 9:13 p.m.