Triple
T2046352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Hoyle Offshore Wind Farm |
E45460
|
entity |
| Predicate | averageHouseholdsPoweredPerYear |
P36029
|
FINISHED |
| Object | approximately 50,000 homes |
—
|
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: approximately 50,000 homes | Statement: [North Hoyle Offshore Wind Farm, averageHouseholdsPoweredPerYear, approximately 50,000 homes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageHouseholdsPoweredPerYear Context triple: [North Hoyle Offshore Wind Farm, averageHouseholdsPoweredPerYear, approximately 50,000 homes]
-
A.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
B.
electrificationCoverage
Indicates the extent to which a given area, system, or population is supplied with access to electrical power.
-
C.
numberOfPowerhouses
Indicates the quantity of powerhouse entities associated with or contained by a given subject.
-
D.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
E.
electrificationUsedBetween
Indicates that an electrification system or method is applied or present along the segment or connection between two entities.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.