Triple
T16302883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wankel rotary engine |
E395833
|
entity |
| Predicate | cyclePerRotorRevolution |
P122599
|
FINISHED |
| Object | three power strokes per rotor revolution |
—
|
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: three power strokes per rotor revolution | Statement: [Wankel rotary engine, cyclePerRotorRevolution, three power strokes per rotor revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cyclePerRotorRevolution Context triple: [Wankel rotary engine, cyclePerRotorRevolution, three power strokes per rotor revolution]
-
A.
shaftCount
Indicates the number of shafts associated with or contained in an object or system.
-
B.
numberOfSpokes
Indicates the count of individual spokes associated with or contained in a given object or structure.
-
C.
numberOfRotors
Indicates the quantity of rotors that an entity possesses or uses.
-
D.
hasRotationFrequency
Indicates that one entity possesses or is characterized by a specific rate at which it rotates over time.
-
E.
hasNumberOfSpokes
Indicates the relationship that specifies how many spokes are present in or associated with an object.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e3404288190a7106d62c15c3193 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.