TaM
E576706
TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TaM canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T6206686 — 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: TaM Context triple: [Montpellier Méditerranée Métropole, hasTransportBrand, TaM]
-
A.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
B.
Tam
Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
-
C.
TAMUT
TAMUT is a regional public university in Texarkana, Texas, offering undergraduate and graduate programs as part of the Texas A&M University System.
-
D.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
E.
tamga
A tamga is a traditional emblem or brand-like symbol historically used by Turkic and Mongolic peoples, often serving as a clan, tribal, or family mark.
- 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: TaM Target entity description: TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
-
A.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
B.
Tam
Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
-
C.
TAMUT
TAMUT is a regional public university in Texarkana, Texas, offering undergraduate and graduate programs as part of the Texas A&M University System.
-
D.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
E.
tamga
A tamga is a traditional emblem or brand-like symbol historically used by Turkic and Mongolic peoples, often serving as a clan, tribal, or family mark.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
public transport network
ⓘ
transport brand ⓘ |
| aimsTo | promote sustainable mobility in Montpellier ⓘ |
| brandingColor | various line-specific colors ⓘ |
| country | France ⓘ |
| fareSystem | integrated ticketing ⓘ |
| fullName |
Transports de l’agglomération de Montpellier
ⓘ
linked to:
Montpellier urban bus network
|
| hasBrandName | TaM ⓘ |
| hasCustomerService |
information points at main stops
ⓘ
online customer support ⓘ ticket offices ⓘ |
| hasFeature |
bike-and-ride integration
ⓘ
network maps ⓘ park-and-ride facilities ⓘ real-time passenger information ⓘ |
| hasService |
Montpellier bus network
ⓘ
linked to:
Montpellier urban bus network
Montpellier tramway ⓘ |
| hasServiceArea | Montpellier Méditerranée Métropole ⓘ |
| hasWebsite | https://www.tam-voyages.com ⓘ |
| locatedIn |
southern France
ⓘ
linked to:
Southern France
|
| modeOfTransport |
bicycle sharing
ⓘ
bus ⓘ park and ride ⓘ tram ⓘ |
| offers |
monthly passes
ⓘ
reduced fares ⓘ single tickets ⓘ |
| operates |
bus routes in Montpellier metropolitan area
ⓘ
tram lines in Montpellier ⓘ |
| operatesIn | Hérault ⓘ |
| primaryLanguage | French ⓘ |
| region | Occitanie ⓘ |
| sector | public transport ⓘ |
| serves |
Montpellier metropolitan area
ⓘ
linked to:
Montpellier Méditerranée Métropole
|
| servesCity | Montpellier ⓘ |
| serviceType |
suburban public transport
ⓘ
urban public transport ⓘ |
| ticketCoverage | tram and bus network ⓘ |
| ticketValidation |
on-board validators
ⓘ
station validators ⓘ |
| uses |
contactless smartcard system
ⓘ
mobile ticketing ⓘ |
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: TaM Description of subject: TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.