Decumano
E441776
Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Decumano canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4477956 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Decumano Context triple: [Expo 2015, mainAxis, Decumano]
-
A.
Sabinum
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
-
B.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
C.
Statilia
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
-
D.
Tithorea
Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
-
E.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Decumano Target entity description: Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
-
A.
Sabinum
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
-
B.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
C.
Statilia
Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
-
D.
Tithorea
Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
-
E.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
Expo 2015 infrastructure
ⓘ
pedestrian boulevard ⓘ |
| associatedWith |
national pavilions
ⓘ
service and commercial areas ⓘ thematic exhibition areas ⓘ |
| belongsTo |
Milan metropolitan area
ⓘ
linked to:
Metropolitan City of Milan
|
| connects |
Expo 2015 entrance areas
ⓘ
Expo 2015 thematic clusters ⓘ |
| country | Italy ⓘ |
| designedFor | temporary use during Expo 2015 ⓘ |
| endDate | 2015-10-31 ⓘ |
| event | Expo 2015 ⓘ |
| function | central pedestrian axis of Expo 2015 ⓘ |
| hasCharacteristic |
central position within Expo site
ⓘ
flanked by national pavilions ⓘ linear layout ⓘ main public space of Expo 2015 ⓘ pedestrian-only ⓘ |
| hasEtymology | derived from Latin decumanus ⓘ |
| languageOfName | Italian ⓘ |
| locatedIn |
Italy
ⓘ
Lombardy ⓘ Milan ⓘ |
| location | Expo 2015 site ⓘ |
| name | Decumano ⓘ |
| partOf | Expo 2015 masterplan ⓘ |
| relatedConcept | decumanus (ancient Roman urban axis) ⓘ |
| role | main circulation spine of Expo 2015 ⓘ |
| startDate | 2015-05-01 ⓘ |
| themeContext | Feeding the Planet, Energy for Life ⓘ |
| timePeriod | Expo 2015 duration ⓘ |
| urbanDesignRole | organizing axis of pavilion plots ⓘ |
| usedFor |
access to exhibition spaces
ⓘ
access to national pavilions ⓘ pedestrian circulation ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Decumano Description of subject: Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.