Triple

T8655829
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Florence E205412 entity
Predicate contains P35 FINISHED
Object Mugello area E558374 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: Mugello area | Statement: [Metropolitan City of Florence, contains, Mugello area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mugello area
Context triple: [Metropolitan City of Florence, contains, Mugello area]
  • A. Mugello chosen
    Mugello is a historic rural region in northern Tuscany, Italy, known for its rolling hills, medieval villages, and cultural heritage.
  • B. Monza
    Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
  • C. Imola
    Imola is a historic city in Italy’s Emilia-Romagna region, best known for its Formula One racing circuit, the Autodromo Enzo e Dino Ferrari.
  • D. Secchia
    The Secchia is a river in northern Italy that flows through the Emilia-Romagna region and is one of the main tributaries contributing to the Po River system.
  • E. Borgo Panigale-Reno district
    The Borgo Panigale-Reno district is a western administrative area of Bologna, Italy, known for its mix of residential neighborhoods, industrial zones, and major sports and transport facilities.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4844586081909b687e278496eefa completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecce40c248190b4f2b21a1ecde80b completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:29 p.m.