MIB30
E381943
MIB30 was a former benchmark stock market index of the Italian equity market, comprising 30 of the most liquid and capitalized companies listed on the Borsa Italiana.
All labels observed (2)
| Label | Occurrences |
|---|---|
| MIB 30 Index | 1 |
| MIB30 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3716923 — 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: MIB30 Context triple: [FTSE MIB, previousIndexReplaced, MIB30]
-
A.
MIB-I
MIB-I is the original version of the Management Information Base used with the SNMP protocol to define standard network management data objects.
-
B.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
C.
M3
M3 is a circular line of the Copenhagen Metro that loops around the city center, connecting key districts and interchange stations.
-
D.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
-
E.
M3
M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
- 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: MIB30 Target entity description: MIB30 was a former benchmark stock market index of the Italian equity market, comprising 30 of the most liquid and capitalized companies listed on the Borsa Italiana.
-
A.
MIB-I
MIB-I is the original version of the Management Information Base used with the SNMP protocol to define standard network management data objects.
-
B.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
C.
M3
M3 is a circular line of the Copenhagen Metro that loops around the city center, connecting key districts and interchange stations.
-
D.
M3
M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
-
E.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
equity index
ⓘ
stock market index ⓘ |
| abbreviation | MIB 30 ⓘ |
| assetClass | equities ⓘ |
| capitalizationRequirement | large market capitalization ⓘ |
| compositionCriterion |
most capitalized companies
ⓘ
most liquid companies ⓘ |
| country | Italy ⓘ |
| currency | euro ⓘ |
| exchange | Borsa Italiana ⓘ |
| fullName |
MIB30
self-linksurface differs
ⓘ
surface form:
MIB 30 Index
|
| geographicFocus | Italy ⓘ |
| indexFamily | MIB indices ⓘ |
| liquidityRequirement | high trading volume ⓘ |
| market | Italian equity market ⓘ |
| numberOfConstituents | 30 ⓘ |
| operator | Borsa Italiana ⓘ |
| region | Europe ⓘ |
| role | benchmark index ⓘ |
| sector | finance ⓘ |
| status | discontinued ⓘ |
| successorIndex |
FTSE MIB
ⓘ
FTSE MIB ⓘ
surface form:
S&P/MIB
|
| underlyingMarket |
Borsa Italiana
ⓘ
surface form:
Borsa Italiana main market
|
| weightingMethod | capitalization-weighted ⓘ |
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: MIB30 Description of subject: MIB30 was a former benchmark stock market index of the Italian equity market, comprising 30 of the most liquid and capitalized companies listed on the Borsa Italiana.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.