Triple
T28114142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEEE-GT |
E710572
|
entity |
| Predicate | regulatedIndustry |
P171737
|
FINISHED |
| Object | electricity sector in Brazil |
—
|
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: electricity sector in Brazil | Statement: [CEEE-GT, regulatedIndustry, electricity sector in Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatedIndustry Context triple: [CEEE-GT, regulatedIndustry, electricity sector in Brazil]
-
A.
regulatedSector
chosen
Indicates that an entity operates within an industry or domain that is subject to formal rules, oversight, and control by regulatory authorities.
-
B.
industryRegime
Indicates a regulatory or governance framework that controls or shapes how an industry operates.
-
C.
documentedIndustry
Indicates that there is recorded or referenced documentation specifying the industry associated with an entity.
-
D.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
E.
regulatedIn
Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
- 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_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 9:13 p.m.