Triple
T30375554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaplan turbine |
E772676
|
entity |
| Predicate | hasRelativeAdvantageOverFrancisTurbine |
P202313
|
FINISHED |
| Object | better suited for lower heads and higher flows |
—
|
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: better suited for lower heads and higher flows | Statement: [Kaplan turbine, hasRelativeAdvantageOverFrancisTurbine, better suited for lower heads and higher flows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeAdvantageOverFrancisTurbine Context triple: [Kaplan turbine, hasRelativeAdvantageOverFrancisTurbine, better suited for lower heads and higher flows]
-
A.
turbineType
Indicates the specific kind or category of turbine associated with or used by an entity.
-
B.
typicalTurbineType
Indicates the turbine type that is most commonly or characteristically used or found in association with a given entity or context.
-
C.
hasTurbineHall
Indicates that something includes or is equipped with a turbine hall as part of its structure or facilities.
-
D.
hasTurbines
Indicates that one entity is equipped with, contains, or includes one or more turbines in relation to another entity.
-
E.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00717f539c8190b70dd0e72c6f7d24 |
completed | May 10, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a00710278fc81908889afdcf459ff01 |
completed | May 10, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_6a00717eaaac8190aeb980562fe30d31 |
completed | May 10, 2026, 11:52 a.m. |
Created at: April 29, 2026, 7:59 p.m.