Triple

T4742080
Position Surface form Disambiguated ID Type / Status
Subject Calenzano E105266 entity
Predicate hasNearbyCity P350 FINISHED
Object Campi Bisenzio
Campi Bisenzio is a town and comune in the Metropolitan City of Florence in Tuscany, central Italy, known for its industrial and commercial activities.
E466747 NE FINISHED

How this triple was built (4 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: [Calenzano, hasNearbyCity, Campi Bisenzio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campi Bisenzio
Context triple: [Calenzano, hasNearbyCity, Campi Bisenzio]
  • A. Cesenatico
    Cesenatico is a historic Adriatic seaside town in Italy, renowned for its canal harbor designed by Leonardo da Vinci and its popular beach tourism.
  • B. Bracciano
    Bracciano is a historic town in the Lazio region of central Italy, known for its volcanic lake and the well-preserved Orsini-Odescalchi Castle.
  • C. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • D. Abano Terme
    Abano Terme is a renowned spa town in northeastern Italy famous for its hot springs and therapeutic mud treatments.
  • E. Desio
    Desio is an Italian surname most notably associated with Ardito Desio, a prominent geologist and mountaineer involved in the first successful ascent of K2.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Campi Bisenzio
Triple: [Calenzano, hasNearbyCity, Campi Bisenzio]
Generated description
Campi Bisenzio is a town and comune in the Metropolitan City of Florence in Tuscany, central Italy, known for its industrial and commercial activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Campi Bisenzio
Target entity description: Campi Bisenzio is a town and comune in the Metropolitan City of Florence in Tuscany, central Italy, known for its industrial and commercial activities.
  • A. Cesenatico
    Cesenatico is a historic Adriatic seaside town in Italy, renowned for its canal harbor designed by Leonardo da Vinci and its popular beach tourism.
  • B. Bracciano
    Bracciano is a historic town in the Lazio region of central Italy, known for its volcanic lake and the well-preserved Orsini-Odescalchi Castle.
  • C. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • D. Abano Terme
    Abano Terme is a renowned spa town in northeastern Italy famous for its hot springs and therapeutic mud treatments.
  • E. Desio
    Desio is an Italian surname most notably associated with Ardito Desio, a prominent geologist and mountaineer involved in the first successful ascent of K2.
  • F. None of above. chosen

Provenance (5 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a7153881909eac451fc7566d25 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a28ca648190a44d178826926812 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3c443c6881908d1a3de22ff1380b completed March 21, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69be3d0aa1d48190a2af91d251cb5561 completed March 21, 2026, 6:39 a.m.
Created at: March 20, 2026, 1:19 p.m.