Triple
T15673583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 80 series |
E377378
|
entity |
| Predicate | typicalSuspensionLugSpacing |
P119716
|
FINISHED |
| Object | 14 inches |
—
|
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: 14 inches | Statement: [Mark 80 series, typicalSuspensionLugSpacing, 14 inches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSuspensionLugSpacing Context triple: [Mark 80 series, typicalSuspensionLugSpacing, 14 inches]
-
A.
typicalLugWidth
Indicates the standard or commonly used width of a lug in a given context or application.
-
B.
suspensionType
Indicates the specific kind or configuration of suspension system associated with an entity (e.g., a vehicle or structure).
-
C.
suspensionRear
Indicates that the relationship or action involves the rear suspension component or system of an object, typically a vehicle.
-
D.
wheelbase
Indicates the distance between the centers of the front and rear wheels of a vehicle.
-
E.
wheelWeightTypical
Indicates the typical or standard weight associated with a wheel.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.