Sprague-Thomson
E754117
Sprague-Thomson was a long-serving class of steel-bodied electric multiple units used on the Paris Métro from the early 20th century until their gradual replacement in the late 20th century.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sprague-Thomson canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8720198 — 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: Sprague-Thomson Context triple: [MF 67, replacedRollingStockType, Sprague-Thomson]
-
A.
Thorndike
Thorndike is a surname most notably associated with Edward L. Thorndike, an influential American psychologist known for his work on learning theory and the law of effect.
-
B.
Tolman
Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
-
C.
Tizard
Tizard is an English surname most notably associated with Sir Henry Tizard, a British chemist and key scientific adviser in the development of radar before and during World War II.
-
D.
Bassett
Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
-
E.
Peto
Peto is a minor companion of Sir John Falstaff and Prince Hal in Shakespeare’s Henry IV plays, often depicted as a comic, roguish follower involved in their tavern escapades.
- 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: Sprague-Thomson Target entity description: Sprague-Thomson was a long-serving class of steel-bodied electric multiple units used on the Paris Métro from the early 20th century until their gradual replacement in the late 20th century.
-
A.
Thorndike
Thorndike is a surname most notably associated with Edward L. Thorndike, an influential American psychologist known for his work on learning theory and the law of effect.
-
B.
Tolman
Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
-
C.
Tizard
Tizard is an English surname most notably associated with Sir Henry Tizard, a British chemist and key scientific adviser in the development of radar before and during World War II.
-
D.
Bassett
Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
-
E.
Peto
Peto is a minor companion of Sir John Falstaff and Prince Hal in Shakespeare’s Henry IV plays, often depicted as a comic, roguish follower involved in their tavern escapades.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Paris Métro rolling stock
ⓘ
electric multiple unit ⓘ rolling stock class ⓘ |
| bodyMaterial | steel ⓘ |
| category |
Electric multiple units of France
ⓘ
Paris Métro trains ⓘ |
| country | France ⓘ |
| designedFor | third rail 600 V DC ⓘ |
| enteredService | early 20th century ⓘ |
| formation | multiple-unit trainsets ⓘ |
| gauge | standard gauge ⓘ |
| heritageStatus | some units preserved in museums ⓘ |
| introduced | 1908 ⓘ |
| namedAfter |
Frank J. Sprague
NERFINISHED
ⓘ
Thomson-Houston NERFINISHED ⓘ |
| networkLocale | Paris NERFINISHED ⓘ |
| notableFeature |
long service life on Paris Métro
ⓘ
steel-bodied construction replacing wooden cars ⓘ |
| operator |
Compagnie du chemin de fer métropolitain de Paris
NERFINISHED
ⓘ
Régie autonome des transports parisiens NERFINISHED ⓘ |
| powerCollectionMethod | third rail contact shoe ⓘ |
| preservedAt |
Musée des transports urbains, interurbains et ruraux
NERFINISHED
ⓘ
RATP historical collection NERFINISHED ⓘ |
| replacedBy |
MF 01
ⓘ
MF 67 NERFINISHED ⓘ MF 77 NERFINISHED ⓘ MF 88 NERFINISHED ⓘ MF 89 ⓘ |
| serviceRegion | Île-de-France NERFINISHED ⓘ |
| serviceType | rapid transit ⓘ |
| trackGauge | 1435 mm ⓘ |
| tractionType | electric ⓘ |
| usedOnLine |
Paris Métro Line 1
NERFINISHED
ⓘ
Paris Métro Line 10 NERFINISHED ⓘ Paris Métro Line 11 NERFINISHED ⓘ Paris Métro Line 12 NERFINISHED ⓘ Paris Métro Line 13 NERFINISHED ⓘ Paris Métro Line 14 (old line, now RER A branch) NERFINISHED ⓘ Paris Métro Line 2 NERFINISHED ⓘ Paris Métro Line 3 NERFINISHED ⓘ Paris Métro Line 4 NERFINISHED ⓘ Paris Métro Line 5 NERFINISHED ⓘ Paris Métro Line 6 NERFINISHED ⓘ Paris Métro Line 7 NERFINISHED ⓘ Paris Métro Line 8 NERFINISHED ⓘ Paris Métro Line 9 NERFINISHED ⓘ |
| usedOnNetwork | Paris Métro NERFINISHED ⓘ |
| withdrawalPeriod | late 20th century ⓘ |
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: Sprague-Thomson Description of subject: Sprague-Thomson was a long-serving class of steel-bodied electric multiple units used on the Paris Métro from the early 20th century until their gradual replacement in the late 20th century.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.