Triple
T10187939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMS Friedrich der Grosse |
E236957
|
entity |
| Predicate | powerPlantOutput |
P41620
|
FINISHED |
| Object | about 31000 shp |
—
|
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: about 31000 shp | Statement: [SMS Friedrich der Grosse, powerPlantOutput, about 31000 shp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerPlantOutput Context triple: [SMS Friedrich der Grosse, powerPlantOutput, about 31000 shp]
-
A.
powerplantOutput
chosen
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
B.
powerplantPower
Indicates that a power plant provides or generates a specified amount of electrical power.
-
C.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
D.
powerPlantName
Indicates the specific name assigned to a power plant.
-
E.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7a7aac8190af8dcb8374e62d68 |
completed | April 2, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:12 p.m.