Triple

T8572838
Position Surface form Disambiguated ID Type / Status
Subject Gigi Simoni E202969 entity
Predicate placeOfBirth P1 FINISHED
Object Crevalcore, Italy E610936 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: Crevalcore, Italy | Statement: [Gigi Simoni, placeOfBirth, Crevalcore, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crevalcore, Italy
Context triple: [Gigi Simoni, placeOfBirth, Crevalcore, Italy]
  • A. Crevalcore chosen
    Crevalcore is a small Italian town in the Emilia-Romagna region, known for its agricultural surroundings and historic architecture within the Bologna metropolitan area.
  • B. Montecarotto, Italy
    Montecarotto, Italy is a small hilltop town in the Marche region known for its medieval historic center, wine production, and traditional cultural festivals.
  • 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. Tivoli, Italy
    Tivoli, Italy is a historic town near Rome renowned for its ancient villas, spectacular gardens, and scenic waterfalls.
  • E. Mongibello, Italy
    Mongibello, Italy is a fictional seaside town on the Italian coast that serves as a primary setting in Patricia Highsmith’s novel "The Talented Mr. Ripley."
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce898cf8648190b52758b6ecf2959b completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.