Triple
T10401267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Açu |
E245150
|
entity |
| Predicate | hasEnergyProjects |
P57390
|
FINISHED |
| Object | thermoelectric power plants |
—
|
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: thermoelectric power plants | Statement: [Port of Açu, hasEnergyProjects, thermoelectric power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergyProjects Context triple: [Port of Açu, hasEnergyProjects, thermoelectric power plants]
-
A.
energyProjectsInclude
chosen
Indicates that a broader set of energy-related initiatives or plans contains or encompasses specific individual energy projects.
-
B.
hasEnergyInitiative
Indicates that an entity participates in, implements, or is associated with a specific program, policy, or effort aimed at managing or improving energy use or sustainability.
-
C.
hasRenewableEnergyPotential
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
-
D.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
E.
hasEnergyTransition
Indicates a change in an entity’s primary energy source, technology, or system from one form or configuration to another over time.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:07 p.m.