Triple

T18073309
Position Surface form Disambiguated ID Type / Status
Subject Prince of Foxes E432486 entity
Predicate filmingLocation P40 FINISHED
Object San Gimignano 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: San Gimignano | Statement: [Prince of Foxes, filmingLocation, San Gimignano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Gimignano
Context triple: [Prince of Foxes, filmingLocation, San Gimignano]
  • A. San Gimignano chosen
    San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
  • B. Pienza
    Pienza is a small Renaissance hill town in Tuscany, Italy, renowned for its harmonious urban design and production of pecorino cheese.
  • C. Borgo San Sepolcro
    Borgo San Sepolcro is the historical name of Sansepolcro, a Tuscan town in central Italy renowned as the birthplace of Renaissance painter Piero della Francesca.
  • D. San Miniato
    San Miniato is a historic hilltop town in Tuscany, Italy, known for its medieval architecture and prized white truffles.
  • E. Poggibonsi
    Poggibonsi is a Tuscan town in central Italy known for its medieval history, archaeological sites, and position along historic pilgrimage and trade routes between Florence and Siena.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.