Triple
T22326843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duewag |
E551922
|
entity |
| Predicate | knownForVehicleType |
P1776
|
FINISHED |
| Object | GT6 tram |
—
|
NE NERFINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: GT6 tram | Statement: [Duewag, knownForVehicleType, GT6 tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GT6 tram Context triple: [Duewag, knownForVehicleType, GT6 tram]
-
A.
T-68 tram
The T-68 tram was a type of light rail vehicle used on Greater Manchester’s Metrolink system in the UK before being replaced by newer models.
-
B.
SL95 tram
The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
-
C.
LM-93 tram
The LM-93 tram is a Russian-built light rail vehicle model commonly used in city tram and metrotram systems such as the Volgograd Metrotram.
-
D.
Tram 2000
Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
-
E.
Tramway T6
Tramway T6 is a light rail line in the Paris metropolitan area that connects Châtillon to Viroflay, serving southwestern suburbs of Île-de-France.
- 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: GT6 tram Target entity description: The GT6 tram is a classic articulated six-axle streetcar model widely used in several European cities, originally designed and built by the German manufacturer Düwag.
-
A.
T-68 tram
The T-68 tram was a type of light rail vehicle used on Greater Manchester’s Metrolink system in the UK before being replaced by newer models.
-
B.
SL95 tram
The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
-
C.
LM-93 tram
The LM-93 tram is a Russian-built light rail vehicle model commonly used in city tram and metrotram systems such as the Volgograd Metrotram.
-
D.
Tram 2000
Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
-
E.
Tramway T6
Tramway T6 is a line of the Lyon tramway network in France, serving several districts including the 8th arrondissement and providing urban light-rail transit connections across the city.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForVehicleType Context triple: [Duewag, knownForVehicleType, GT6 tram]
-
A.
vehicleType
chosen
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
B.
appliedToVehicleType
Indicates that something (such as a rule, restriction, or condition) is specifically applicable to a particular type or category of vehicle.
-
C.
vehicleFor
Indicates that one entity serves as the means of transportation or conveyance for another entity.
-
D.
intendedVehicleClass
Indicates that one entity is designed or specified to be used with, or is appropriate for, a particular class or category of vehicle.
-
E.
vehicleStandard
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157693460819087c165481eb9e128 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.