Triple
T34616687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMD 645 series |
E888882
|
entity |
| Predicate | numberOfCylindersRange |
P8251
|
FINISHED |
| Object | 8 to 20 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: 8 to 20 cylinders | Statement: [EMD 645 series, numberOfCylindersRange, 8 to 20 cylinders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCylindersRange Context triple: [EMD 645 series, numberOfCylindersRange, 8 to 20 cylinders]
-
A.
numberOfCylinders
chosen
Indicates the count of engine cylinders associated with an entity.
-
B.
cylinderCapacity
Indicates the volume or capacity of a cylindrical object, typically specifying how much fluid or gas it can hold.
-
C.
valvesPerCylinder
Indicates the number of valves associated with each individual cylinder in an engine.
-
D.
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.
-
E.
numberOfCarburetors
Indicates the quantity of carburetors associated with a given 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:03 a.m.