Triple
T1645025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Hierro |
E35560
|
entity |
| Predicate | renewableEnergyShareGoal |
P13547
|
FINISHED |
| Object | 100% renewable electricity |
—
|
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: 100% renewable electricity | Statement: [El Hierro, renewableEnergyShareGoal, 100% renewable electricity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renewableEnergyShareGoal Context triple: [El Hierro, renewableEnergyShareGoal, 100% renewable electricity]
-
A.
renewableEnergyShare
chosen
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
B.
hasRenewableEnergy
Indicates that an entity possesses or utilizes energy derived from renewable sources.
-
C.
hasRenewableEnergySystem
Indicates that an entity is equipped with or utilizes a system that generates energy from renewable sources.
-
D.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
-
E.
hasConservationGoal
Indicates that an entity is associated with or aims to achieve a specific conservation-related objective or target.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.