Triple
T1162901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigha |
E24532
|
entity |
| Predicate | hasRenewableEnergy |
P25654
|
FINISHED |
| Object | community 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: community wind turbines | Statement: [Gigha, hasRenewableEnergy, community wind turbines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRenewableEnergy Context triple: [Gigha, hasRenewableEnergy, community wind turbines]
-
A.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
B.
isRenewable
Indicates that a resource or energy source can be naturally replenished or regenerated within a human-relevant timescale.
-
C.
hasEnergyManagement
Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
- F. None of above. chosen
Provenance (4 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb2bb84819088bd94e91c10fb0c |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.