Triple

T35741454
Position Surface form Disambiguated ID Type / Status
Subject Luxury Line (on some markets and models) E1033044 entity
Predicate modelAvailability P55186 FINISHED
Object selected Mercedes-Benz models LITERAL 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: selected Mercedes-Benz models | Statement: [Luxury Line (on some markets and models), modelAvailability, selected Mercedes-Benz models]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modelAvailability
Context triple: [Luxury Line (on some markets and models), modelAvailability, selected Mercedes-Benz models]
  • A. availabilityModel chosen
    Indicates how and under what conditions an entity is available for use, access, or interaction.
  • B. kitAvailability
    Indicates that a particular kit is available for use, access, or distribution in a given context.
  • C. modernAvailability
    Indicates that something is currently obtainable, accessible, or in use in the modern or present-day context.
  • D. commercialAvailability
    Indicates that an entity is offered for sale or otherwise obtainable through commercial channels.
  • E. packageAvailability
    Indicates whether a particular package is currently available for use, access, or distribution.
  • 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_69f76e119d508190a3873cb302063832 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:06 p.m.