Triple
T14072602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz U.S. International plant |
E338647
|
entity |
| Predicate | hasAssemblyLine |
P112702
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mercedes-Benz U.S. International plant, hasAssemblyLine, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssemblyLine Context triple: [Mercedes-Benz U.S. International plant, hasAssemblyLine, yes]
-
A.
hasAssemblyLineFor
Indicates that one entity operates or contains an assembly line specifically used to produce, process, or assemble another entity.
-
B.
hasFinalAssemblyLine
Indicates that one entity serves as the final assembly line where another entity’s components or subassemblies are brought together and completed.
-
C.
hasAssembly
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
-
D.
hasAssembler
Indicates that one entity is responsible for assembling, putting together, or constructing another entity.
-
E.
hasAssemblyType
Indicates that an entity is associated with or classified by a specific type or method of assembly.
- 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.