Triple
T16046688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-AMG CLS 53 |
E389239
|
entity |
| Predicate | modelLine |
P27119
|
FINISHED |
| Object | CLS-Class |
E80917
|
NE 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: CLS-Class | Statement: [Mercedes-AMG CLS 53, modelLine, CLS-Class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLS-Class Context triple: [Mercedes-AMG CLS 53, modelLine, CLS-Class]
-
A.
CLS
chosen
The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
-
B.
CLS
CLS is the three-letter station code used to identify Clapham South Underground station on the London Underground network.
-
C.
CLS
CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
-
D.
CLASS
CLASS is the commonly used acronym for the College of Letters, Arts, and Social Sciences at various universities, encompassing humanities, arts, and social science disciplines.
-
E.
Clase
Clase is a residential district and community within the City and County of Swansea in South Wales.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835eda348190aff492f0ff668cce |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbdbcf248190b7122d61d857e806 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.