Triple

T38339480
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz W204 E1038053 entity
Predicate wagonCode P44383 FINISHED
Object S204
S204 is the internal Mercedes-Benz designation for the estate (station wagon) version of the W204 C-Class.
 E2265771 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: S204 | Statement: [Mercedes-Benz W204, wagonCode, S204]
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: S204
Triple: [Mercedes-Benz W204, wagonCode, S204]
Generated description
S204 is the internal Mercedes-Benz designation for the estate (station wagon) version of the W204 C-Class.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wagonCode
Context triple: [Mercedes-Benz W204, wagonCode, S204]
  • A. railCarries
    Indicates that a rail or railway system transports or conveys a specified entity from one place to another.
  • B. cargoAccess
    Indicates that an entity has permission or capability to access, enter, or interact with a cargo area or cargo-related contents.
  • C. carriageWeight
    Indicates the weight or mass associated with a carriage in the described context.
  • D. vehicleCode
    Indicates a relationship where a specific code or identifier is assigned to or associated with a vehicle.
  • E. chassisCode chosen
    Indicates the specific chassis designation or code assigned to a vehicle model to distinguish its underlying structural platform or variant.
  • 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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc7a4d7f881908b43b960911b81e9 completed May 7, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7f101ec8190928a2086c54278c2 completed June 28, 2026, 11:02 p.m.
NEDg Description generation batch_6a41a8f8ff04819087c4b80f8de32b81 completed June 28, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_6a41a9aecf108190a0833bde27cb0e6a completed June 28, 2026, 11:09 p.m.
PD Predicate disambiguation batch_69fcc589720c819089c8f500fea3c86a completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:30 p.m.