Triple

T6290251
Position Surface form Disambiguated ID Type / Status
Subject Fiat Grande Punto E140997 entity
Predicate competitor P1375 FINISHED
Object Ford Fiesta E461315 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: Ford Fiesta | Statement: [Fiat Grande Punto, competitor, Ford Fiesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Fiesta
Context triple: [Fiat Grande Punto, competitor, Ford Fiesta]
  • A. Ford Fiesta chosen
    The Ford Fiesta is a popular supermini/subcompact car produced by Ford, known for its practicality, efficiency, and wide appeal in urban and everyday driving.
  • B. Ford Focus
    The Ford Focus is a popular compact car known for its agile handling, practicality, and strong sales in global markets.
  • C. Ford Scorpio
    The Ford Scorpio is a large executive car produced by Ford Europe from the mid-1980s to the late 1990s, known for its advanced safety features and spacious, comfortable interior.
  • D. Ford Mondeo
    The Ford Mondeo is a mid-size family car produced by Ford, known for its practicality, comfort, and strong presence in the European market.
  • E. Škoda Fabia
    The Škoda Fabia is a popular supermini/subcompact car produced by Czech automaker Škoda Auto, known for its practicality, reliability, and value-oriented design.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0641ca91481909d49b700cef93ffe completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5197f0f9c81909f5b6de50e61560c completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:26 p.m.