Triple

T4599288
Position Surface form Disambiguated ID Type / Status
Subject Juan Manuel Fangio E100282 entity
Predicate teamsRacedFor P19695 FINISHED
Object Mercedes-Benz E11202 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: Mercedes-Benz | Statement: [Juan Manuel Fangio, teamsRacedFor, Mercedes-Benz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercedes-Benz
Context triple: [Juan Manuel Fangio, teamsRacedFor, Mercedes-Benz]
  • A. Mercedes-Benz chosen
    Mercedes-Benz is a German luxury automobile manufacturer renowned for its premium cars, engineering innovation, and iconic three-pointed star logo.
  • B. Mercedes
    Mercedes is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and fishing-based local economy.
  • C. Mercedes
    Mercedes is a courageous and compassionate housekeeper who secretly aids the Spanish Maquis resistance in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
  • D. Mercedes-Benz USA
    Mercedes-Benz USA is the American subsidiary of the German luxury automobile manufacturer Mercedes-Benz, responsible for marketing, sales, and distribution of its vehicles in the United States.
  • E. Porsche
    Porsche is a German luxury automobile manufacturer renowned for its high-performance sports cars, SUVs, and engineering excellence.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6234e8108190b985270b9ddd1f3a completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa54bb0c819081265a6d159ad790 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.