Triple
T4476572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wright R-3350 Duplex-Cyclone |
E100022
|
entity |
| Predicate | cylinderRows |
P12421
|
FINISHED |
| Object | two rows |
—
|
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: two rows | Statement: [Wright R-3350 Duplex-Cyclone, cylinderRows, two rows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cylinderRows Context triple: [Wright R-3350 Duplex-Cyclone, cylinderRows, two rows]
-
A.
cylinderArrangement
chosen
Indicates how multiple cylinders are positioned or organized relative to one another.
-
B.
rows
Indicates that one entity is arranged in a horizontal line or sequence relative to another, typically as part of a grid or tabular structure.
-
C.
cylinderBore
Indicates the diameter of the cylindrical chamber (bore) in which a piston or similar component moves.
-
D.
numberOfCylinders
Indicates the count of engine cylinders associated with an entity.
-
E.
hasTypicalColumnHeightToDiameterRatio
Indicates that there is a characteristic or commonly observed proportional relationship between a column’s height and its diameter.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.