Triple

T21689086
Position Surface form Disambiguated ID Type / Status
Subject Michele Scarponi E535309 entity
Predicate placeOfBirth P1 FINISHED
Object Jesi NE NERFINISHED

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: Jesi | Statement: [Michele Scarponi, placeOfBirth, Jesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesi
Context triple: [Michele Scarponi, placeOfBirth, Jesi]
  • A. Jesi chosen
    Jesi is a historic town in Italy’s Marche region, known as the birthplace of Holy Roman Emperor Frederick II and for its well-preserved medieval architecture.
  • B. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • C. Junikowo
    Junikowo is a residential district of Poznań in western Poland, known for its housing estates and local transport links.
  • D. Jaru
    Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
  • E. Niedzica
    Niedzica is a village in southern Poland known for its historic castle overlooking the Czorsztyn Lake in the Pieniny Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cd51d481908df67e4f69826b06 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.