Triple

T12609426
Position Surface form Disambiguated ID Type / Status
Subject Antonio Cabrini E301071 entity
Predicate placeOfBirth P1 FINISHED
Object Cremona, Italy E126825 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: Cremona, Italy | Statement: [Antonio Cabrini, placeOfBirth, Cremona, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cremona, Italy
Context triple: [Antonio Cabrini, placeOfBirth, Cremona, Italy]
  • A. Cremona chosen
    Cremona is a historic city in northern Italy renowned for its tradition of violin making and its well-preserved medieval architecture.
  • B. Tivoli, Italy
    Tivoli, Italy is a historic town near Rome renowned for its ancient villas, spectacular gardens, and scenic waterfalls.
  • C. Varano de' Melegari, Italy
    Varano de' Melegari is a small town in Italy’s Emilia-Romagna region known for its strong motorsport heritage and as a hub of automotive engineering.
  • D. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • E. Stezzano, Italy
    Stezzano, Italy is a municipality in the Lombardy region near Bergamo, known in particular for hosting the corporate headquarters of the braking-systems manufacturer Brembo.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954ea1d748190a848e8a7873e2ea5 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719488748190a07bc7335d62b8e8 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:11 p.m.