Triple

T13919695
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz SL 65 AMG E334708 entity
Predicate modelSeries P39689 FINISHED
Object R230 E316547 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: R230 | Statement: [Mercedes-Benz SL 65 AMG, modelSeries, R230]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R230
Context triple: [Mercedes-Benz SL 65 AMG, modelSeries, R230]
  • A. R230 chosen
    The R230 is the fifth-generation Mercedes-Benz SL-Class, a luxury two-seat roadster produced in the 2000s known for its retractable hardtop and advanced technology features.
  • B. R232
    R232 is the internal designation for the latest generation of the Mercedes-Benz SL, a luxury roadster combining high performance with advanced technology and premium comfort.
  • C. R23
    R23 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
  • D. R20
    R20 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
  • E. R30
    R30 is a regional commuter rail line within the Rodalies de Catalunya network serving the Barcelona metropolitan area and surrounding regions.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7c4a788190a1e7619a00ab0c2e completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.