Triple
T6840253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eday |
E157552
|
entity |
| Predicate | hasRenewableEnergyInfrastructure |
P25194
|
FINISHED |
| Object | wind turbines |
—
|
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: wind turbines | Statement: [Eday, hasRenewableEnergyInfrastructure, wind turbines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRenewableEnergyInfrastructure Context triple: [Eday, hasRenewableEnergyInfrastructure, wind turbines]
-
A.
hasRenewableEnergy
Indicates that an entity possesses or utilizes energy derived from renewable sources.
-
B.
hasRenewableEnergyPotential
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
-
C.
hasRenewableEnergySystem
chosen
Indicates that an entity is equipped with or utilizes a system that generates energy from renewable sources.
-
D.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b2ee248190991c3e827be75bb7 |
completed | March 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.