LR
E561782
LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LR canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6006284 — 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: LR Context triple: [Legrand, tickerSymbol, LR]
-
A.
LR
LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
-
B.
RL
RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
-
C.
LD
LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
-
D.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
-
E.
LM
LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
- 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: LR Target entity description: LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
-
A.
LR
LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
-
B.
RL
RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
-
C.
LD
LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
-
D.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
-
E.
LM
LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
electrical equipment company
ⓘ
manufacturer ⓘ public company ⓘ |
| country | France ⓘ |
| currencyOfListing | EUR ⓘ |
| employs | thousands of employees worldwide ⓘ |
| focusesOn |
building automation
ⓘ
digital connectivity ⓘ electrical safety ⓘ energy distribution ⓘ |
| foundedIn | 19th century ⓘ |
| hasBrand | Legrand NERFINISHED ⓘ |
| hasCorporateForm | Société Anonyme NERFINISHED ⓘ |
| hasGlobalPresenceIn |
Africa
NERFINISHED
ⓘ
Asia NERFINISHED ⓘ Europe NERFINISHED ⓘ North America NERFINISHED ⓘ Oceania NERFINISHED ⓘ South America NERFINISHED ⓘ |
| hasISIN | FR0010307819 ⓘ |
| hasLEI | 969500XXRPGD7H2G6X65 ⓘ |
| hasOfficialWebsite | https://www.legrandgroup.com ⓘ |
| hasSector | Industrials ⓘ |
| hasShortName | Legrand SA NERFINISHED ⓘ |
| hasStockExchangeCountry | France NERFINISHED ⓘ |
| hasSubsector | Electrical Components & Equipment ⓘ |
| headquartersLocation | Limoges, France NERFINISHED ⓘ |
| industry | electrical and digital building infrastructure ⓘ |
| languageOfHeadquartersRegion | French ⓘ |
| listedOn | Euronext Paris NERFINISHED ⓘ |
| productCategory |
cable management systems
ⓘ
circuit breakers ⓘ data communication networks equipment ⓘ home automation solutions ⓘ lighting control systems ⓘ switches and sockets ⓘ |
| scope | global ⓘ |
| servesMarket |
commercial buildings
ⓘ
industrial buildings ⓘ residential buildings ⓘ |
| specializesIn |
digital building infrastructure
ⓘ
electrical installations ⓘ |
| stockTicker | LR NERFINISHED ⓘ |
| tradedAs | component of CAC 40 index ⓘ |
| usesReportingCurrency | euro ⓘ |
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: LR Description of subject: LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.