Triple

T11512153
Position Surface form Disambiguated ID Type / Status
Subject Province of Florence E272939 entity
Predicate contains P35 FINISHED
Object Campi Bisenzio E466747 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: Campi Bisenzio | Statement: [Province of Florence, contains, Campi Bisenzio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campi Bisenzio
Context triple: [Province of Florence, contains, Campi Bisenzio]
  • A. Campi Bisenzio chosen
    Campi Bisenzio is a town and comune in the Metropolitan City of Florence in Tuscany, central Italy, known for its industrial and commercial activities.
  • B. Boffalora d’Adda
    Boffalora d’Adda is a small municipality in the Lombardy region of northern Italy, situated near the Adda River and administratively part of the Province of Lodi.
  • C. Mercatale Valdarno
    Mercatale Valdarno is a village in Tuscany, central Italy, that forms one of the localities within the municipality of Bucine in the province of Arezzo.
  • D. Torrente Bosisio
    Torrente Bosisio is a small stream in Lombardy, northern Italy, that serves as one of the main tributaries feeding Lake Annone.
  • E. Valle del Secchia
    Valle del Secchia is the valley carved by the Secchia River in northern Italy, known for its agricultural landscapes and Apennine foothill scenery.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db7af688190b68668eb39d382a8 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625055dfc81909a87418a3ed40027 completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.