Triple
T38356293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz 600 SEL (W140) |
E1046336
|
entity |
| Predicate | belongsToModelLine |
P97305
|
FINISHED |
| Object | Mercedes-Benz S-Class (W140) |
—
|
NE NERFINISHED |
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: Mercedes-Benz S-Class (W140) | Statement: [Mercedes-Benz 600 SEL (W140), belongsToModelLine, Mercedes-Benz S-Class (W140)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToModelLine Context triple: [Mercedes-Benz 600 SEL (W140), belongsToModelLine, Mercedes-Benz S-Class (W140)]
-
A.
belongsToLine
Indicates that an entity is a member or component of a particular line or linear grouping.
-
B.
belongsToMode
Indicates that something is associated with, or is a member of, a particular mode or operational state.
-
C.
associatedWithModel
chosen
Indicates that one entity has a defined connection, linkage, or relationship with a particular model.
-
D.
belongsToModule
Indicates that something is a component or part of a specific module within a larger system or structure.
-
E.
belongsToPattern
Indicates that something is a component, instance, or member of a specified pattern or structured template.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0059f4ffe481908dc500cee9051148 |
completed | May 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a00593a3c1881909b2ff1a29eb474b3 |
completed | May 10, 2026, 10:08 a.m. |
Created at: May 3, 2026, 4:31 p.m.