Triple
T35758114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz W140 |
E1033499
|
entity |
| Predicate | coupéDesignation |
P32674
|
FINISHED |
| Object |
C140
C140 is the internal Mercedes-Benz designation for the coupé version of the W140 S-Class luxury grand tourer produced in the 1990s.
|
E2154608
|
NE FINISHED |
How this triple was built (3 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: C140 | Statement: [Mercedes-Benz W140, coupéDesignation, C140]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: C140 Triple: [Mercedes-Benz W140, coupéDesignation, C140]
Generated description
C140 is the internal Mercedes-Benz designation for the coupé version of the W140 S-Class luxury grand tourer produced in the 1990s.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coupéDesignation Context triple: [Mercedes-Benz W140, coupéDesignation, C140]
-
A.
coupeIntroductionYear
Indicates the year in which a coupe model was first introduced.
-
B.
hasFullCarDesignation
Indicates that an entity is associated with a complete, formal car designation (such as full model name or code) rather than a partial or abbreviated identifier.
-
C.
headEndCarDesignation
Indicates the designation or identifier assigned to the car positioned at the head end of a train.
-
D.
racingModel
Indicates that one entity is a specific model or version designed or configured for racing in relation to another entity.
-
E.
carModel
chosen
Indicates the specific model designation of a car within a particular make or brand.
- F. None of above.
Provenance (6 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c138848190bdd27868794efd0f |
completed | May 3, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3885f897a08190badf29b5cc6dba37 |
completed | June 22, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_6a3887948e148190873b6efc5735127b |
completed | June 22, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a388849bf348190ba71468323566c56 |
completed | June 22, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.