Triple

T5046231
Position Surface form Disambiguated ID Type / Status
Subject Pietro Bernini E113671 entity
Predicate placeOfBirth P1 FINISHED
Object Sesto Fiorentino E466746 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: Sesto Fiorentino | Statement: [Pietro Bernini, placeOfBirth, Sesto Fiorentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sesto Fiorentino
Context triple: [Pietro Bernini, placeOfBirth, Sesto Fiorentino]
  • A. Sesto Fiorentino chosen
    Sesto Fiorentino is a town in the Metropolitan City of Florence in Tuscany, central Italy, known for its historical center and traditional ceramics industry.
  • B. Prato della Valle
    Prato della Valle is a vast elliptical square in Padua, Italy, known as one of the largest public squares in Europe and famed for its central island, surrounding canal, and ring of statues.
  • C. Poggio San Lorenzo
    Poggio San Lorenzo is a small Italian municipality in the Lazio region, known for its rural setting and historical hilltop village character.
  • D. Cortona
    Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
  • E. San Gimignano
    San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fe99688190961708f5d8eb6bff completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8e1fc481908faf1042ee7f49e9 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.