Triple

T8133430
Position Surface form Disambiguated ID Type / Status
Subject Rosso Fiorentino E189908 entity
Predicate workedAt P7 FINISHED
Object Borgo Sansepolcro E428019 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: Borgo Sansepolcro | Statement: [Rosso Fiorentino, workedAt, Borgo Sansepolcro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borgo Sansepolcro
Context triple: [Rosso Fiorentino, workedAt, Borgo Sansepolcro]
  • A. Sansepolcro chosen
    Sansepolcro is a historic Tuscan town in central Italy, renowned as the birthplace of Renaissance painter and mathematician Piero della Francesca.
  • B. San Gimignano
    San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
  • C. Arezzo
    Arezzo is an ancient Tuscan city in central Italy, historically significant as one of the principal centers of the Etruscan civilization and later a prominent medieval and Renaissance town.
  • D. 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.
  • E. Fiesole
    Fiesole is a historic hilltop town overlooking Florence in Tuscany, Italy, known for its Etruscan and Roman remains and its role as a Renaissance artistic center.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43ba98c881909c4b4c9cd25ad063 completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3457196081909f739af8c17b4d4c completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:35 p.m.