Triple

T9754072
Position Surface form Disambiguated ID Type / Status
Subject Luigi E236510 entity
Predicate model P2006 FINISHED
Object Fiat 500 E136270 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: Fiat 500 | Statement: [Luigi, model, Fiat 500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiat 500
Context triple: [Luigi, model, Fiat 500]
  • A. Fiat 500 chosen
    The Fiat 500 is a compact city car from the Italian manufacturer Fiat, renowned for its iconic retro-inspired design and popularity in urban environments.
  • B. Fiat Uno
    The Fiat Uno is a compact city car produced by the Italian manufacturer Fiat, known for its practicality, fuel efficiency, and popularity in European and Latin American markets since the 1980s.
  • C. Fiat Panda
    The Fiat Panda is a popular city car produced by Italian automaker Fiat, known for its compact size, practicality, and affordability.
  • D. Fiat Topolino
    The Fiat Topolino is a small, iconic Italian city car produced from the mid-1930s to the mid-1950s, widely regarded as one of the world’s earliest mass-market economy cars.
  • E. Fiat 600
    The Fiat 600 is a compact, rear-engined city car introduced in the mid-1950s that became one of Italy’s most iconic and influential postwar economy vehicles.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.