Triple
T34538179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walsum power station |
E886727
|
entity |
| Predicate | unit10NetCapacity |
P80385
|
FINISHED |
| Object | approximately 750 MW |
—
|
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 750 MW | Statement: [Walsum power station, unit10NetCapacity, approximately 750 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unit10NetCapacity Context triple: [Walsum power station, unit10NetCapacity, approximately 750 MW]
-
A.
unitCapacity
chosen
Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
-
B.
unitOfCapacity
Indicates that one entity is a unit used to measure the capacity or volume of another entity.
-
C.
installedCapacityUnit
Indicates the unit of measurement used to express the installed capacity associated with an entity.
-
D.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
E.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff03438819095c5c377f2bcae9d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.