Triple
T14072598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz U.S. International plant |
E338647
|
entity |
| Predicate | exportRate |
P112701
|
FINISHED |
| Object | high percentage of production exported |
—
|
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: high percentage of production exported | Statement: [Mercedes-Benz U.S. International plant, exportRate, high percentage of production exported]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportRate Context triple: [Mercedes-Benz U.S. International plant, exportRate, high percentage of production exported]
-
A.
rate
Indicates the numerical evaluation or assessment assigned by one entity to another based on perceived quality, performance, or value.
-
B.
increasedRateOn
Indicates that one entity has raised the rate, fee, or charge applied to another entity.
-
C.
terminationRate
Indicates the frequency or proportion at which something (such as a process, contract, or relationship) is ended or discontinued over a given context or time period.
-
D.
approvalRate
Indicates the proportion or percentage of subjects that express approval or a positive evaluation toward a given entity or action.
-
E.
baseRate
Indicates the fundamental or standard rate at which something occurs or is charged, serving as a baseline before adjustments or modifiers are applied.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5aa828819098ef55a70a0decbc |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.