Triple
T8213209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Array |
E191870
|
entity |
| Predicate | avoidedCO2EmissionsPerYear |
P37777
|
FINISHED |
| Object | around 900,000 tonnes |
—
|
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: around 900,000 tonnes | Statement: [London Array, avoidedCO2EmissionsPerYear, around 900,000 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: avoidedCO2EmissionsPerYear Context triple: [London Array, avoidedCO2EmissionsPerYear, around 900,000 tonnes]
-
A.
hasPersistentGasEmissions
Indicates that an entity continuously or repeatedly releases gaseous substances over an extended period.
-
B.
hasCarbonFootprintCategory
Indicates that an entity is associated with a specific classification of its carbon footprint level or impact.
-
C.
emissionsComparedToPredecessor
Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
-
D.
hasEnvironmentalMitigation
chosen
Indicates that an entity has associated measures, actions, or features intended to reduce, offset, or manage its negative environmental impacts.
-
E.
environmentalMeasure
Indicates that an action, policy, or condition serves to protect, preserve, or improve the natural environment or its resources.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76e1ffa081908883338e7d3a7c6d |
completed | March 31, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.