Triple

T13291052
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz W154 E316559 entity
Predicate nickname P55 FINISHED
Object Silver Arrow E80446 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: Silver Arrow | Statement: [Mercedes-Benz W154, nickname, Silver Arrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Arrow
Context triple: [Mercedes-Benz W154, nickname, Silver Arrow]
  • A. The Silver Arrow
    The Silver Arrow is a track featured on the album "Harrow Songs."
  • B. Silver Arrows chosen
    Silver Arrows refers to the iconic silver-painted Grand Prix and racing cars fielded primarily by Mercedes-Benz (and Auto Union) that dominated European motor racing in the 1930s and later eras.
  • C. The Lotus
    The Lotus is a component or segment of the larger work "The Broken Wing," likely representing a distinct chapter, section, or thematic part within that overall creation.
  • D. The Lotus
    The Lotus is a distinctive stage at Belgium’s Tomorrowland electronic dance music festival, known for its elaborate design and immersive audiovisual experience.
  • E. Arrol
    Arrol is a Scottish surname most notably associated with Sir William Arrol, a prominent 19th-century civil engineer known for major bridge-building projects.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99077a8f48190b1163448a3a978a2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f247e2081908759c40c0023c7ae completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:27 p.m.