Triple

T19069049
Position Surface form Disambiguated ID Type / Status
Subject Parish church of San Donato E466744 entity
Predicate locatedIn P40 FINISHED
Object Calenzano 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: Calenzano | Statement: [Parish church of San Donato, locatedIn, Calenzano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calenzano
Context triple: [Parish church of San Donato, locatedIn, Calenzano]
  • A. Calenzano chosen
    Calenzano is a municipality in the Tuscany region of central Italy, situated near Florence and known for its mix of industrial areas and historic hilltop village.
  • B. Musignano
    Musignano is an Italian locality historically linked to the Bonaparte family’s expanded heraldic and territorial holdings.
  • C. Figline Valdarno
    Figline Valdarno is a historic town in Tuscany, Italy, known for its medieval heritage and as the birthplace of the Renaissance philosopher Marsilio Ficino.
  • D. Corsignano
    Corsignano is the former name of the Tuscan village later rebuilt and renamed Pienza, best known as the birthplace of Pope Pius II.
  • E. Montevarchi
    Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19caa708190876a2cb06aa0c9cc completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.