Triple

T13253725
Position Surface form Disambiguated ID Type / Status
Subject Kitzingen E315601 entity
Predicate hasTwinTown P919 FINISHED
Object Montevarchi E794171 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: Montevarchi | Statement: [Kitzingen, hasTwinTown, Montevarchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montevarchi
Context triple: [Kitzingen, hasTwinTown, Montevarchi]
  • A. Montevarchi chosen
    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.
  • B. Monterchi
    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."
  • 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. Cotignola
    Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
  • E. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7cb4d348190962ba5fa21fbb77b completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:24 p.m.