Triple

T4701465
Position Surface form Disambiguated ID Type / Status
Subject Ferrari E104281 entity
Predicate associatedColor P60 FINISHED
Object Rosso Corsa (racing red) E459674 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: Rosso Corsa (racing red) | Statement: [Ferrari, associatedColor, Rosso Corsa (racing red)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosso Corsa (racing red)
Context triple: [Ferrari, associatedColor, Rosso Corsa (racing red)]
  • A. Rosso corsa chosen
    Rosso corsa is the traditional bright red national racing color historically associated with Italian racing cars and teams.
  • B. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • C. Valentino red
    Valentino red is the iconic, vivid shade of red closely associated with the luxury fashion house Valentino and its dramatic haute couture designs.
  • D. Carmine
    Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
  • E. Coca-Cola red
    Coca-Cola red is the iconic, vibrant shade of red closely associated with the Coca-Cola brand and prominently used in its global marketing and packaging.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cd447081908120ee1691009982 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ca24848190aa7df32472647cae completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.