Triple
T643448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muck |
E16789
|
entity |
| Predicate | hasEnergyInfrastructure |
P2560
|
FINISHED |
| Object | renewable energy system |
—
|
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: renewable energy system | Statement: [Muck, hasEnergyInfrastructure, renewable energy system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergyInfrastructure Context triple: [Muck, hasEnergyInfrastructure, renewable energy system]
-
A.
hasEnergyManagement
Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
-
B.
hasInfrastructureType
chosen
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
C.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
D.
numberOfPowerhouses
Indicates the quantity of powerhouse entities associated with or contained by a given subject.
-
E.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f18216081908331aa12dac40214 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0a0ab481909871461418a00be7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.