Triple

T17529263
Position Surface form Disambiguated ID Type / Status
Subject Madonna del Parto E426886 entity
Predicate originalLocation P40 FINISHED
Object Monterchi 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: Monterchi | Statement: [Madonna del Parto, originalLocation, Monterchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monterchi
Context triple: [Madonna del Parto, originalLocation, Monterchi]
  • A. Monterchi chosen
    Monterchi is a small Tuscan hill town in central Italy, renowned for its picturesque medieval setting and Piero della Francesca’s famous fresco "Madonna del Parto."
  • B. 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.
  • C. Montemurlo
    Montemurlo is a municipality in the Tuscany region of central Italy, known for its industrial activity and proximity to the city of Prato.
  • D. Calenzana
    Calenzana is a village in the Haute-Corse department of Corsica, France, known as a gateway to the island’s mountainous interior and a starting point for hiking and outdoor tourism.
  • E. Rosciano
    Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d81a808190ab38831ea5b73b74 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.