Triple
T13989867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gnome Monosoupape rotary engine |
E336540
|
entity |
| Predicate | typicalCylinderCount |
P8251
|
FINISHED |
| Object | 7 cylinders |
—
|
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: 7 cylinders | Statement: [Gnome Monosoupape rotary engine, typicalCylinderCount, 7 cylinders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCylinderCount Context triple: [Gnome Monosoupape rotary engine, typicalCylinderCount, 7 cylinders]
-
A.
numberOfCylinders
chosen
Indicates the count of engine cylinders associated with an entity.
-
B.
cylinderHeads
Indicates a relationship where one entity serves as a cylinder head (or set of cylinder heads) for another, typically as a component in an engine or mechanical assembly.
-
C.
typicalSpindleCount
Indicates the usual or standard number of spindles associated with an entity in this relationship.
-
D.
cylinderSize
Indicates the size or capacity of a cylindrical object in the relationship.
-
E.
valvesPerCylinder
Indicates the number of valves associated with each individual cylinder in an engine.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb22e388190904fc87765176c91 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.