Triple
T19232030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subaru SVX |
E480893
|
entity |
| Predicate | productionVolumeApproximate |
P99700
|
FINISHED |
| Object | about 24,000 units |
—
|
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: about 24,000 units | Statement: [Subaru SVX, productionVolumeApproximate, about 24,000 units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionVolumeApproximate Context triple: [Subaru SVX, productionVolumeApproximate, about 24,000 units]
-
A.
approximateProductionNumber
chosen
Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
-
B.
productionCapacity
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
-
C.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
D.
productionScale
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
E.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9db56081908f50d318d7fc9eaa |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.