Triple
T1139697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Tramway |
E23420
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object |
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.
|
E132685
|
NE FINISHED |
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: SL95 tram | Statement: [Oslo Tramway, rollingStock, SL95 tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL95 tram Context triple: [Oslo Tramway, rollingStock, SL95 tram]
-
A.
SL79 tram
The SL79 tram is a class of articulated light rail vehicles used for passenger service on the Oslo Tramway network in Norway.
-
B.
M5000 tram
The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
-
C.
Alstom Citadis tram
The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
-
D.
Trolebús
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
E.
M-Line Trolley
M-Line Trolley is a heritage streetcar system operating in Dallas, Texas, providing free public transportation along the McKinney Avenue and Uptown areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SL95 tram Triple: [Oslo Tramway, rollingStock, SL95 tram]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SL95 tram Target entity description: 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.
-
A.
SL79 tram
The SL79 tram is a class of articulated light rail vehicles used for passenger service on the Oslo Tramway network in Norway.
-
B.
M5000 tram
The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
-
C.
Alstom Citadis tram
The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
-
D.
Trolebús
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
E.
M-Line Trolley
M-Line Trolley is a heritage streetcar system operating in Dallas, Texas, providing free public transportation along the McKinney Avenue and Uptown areas.
- F. None of above. chosen
Provenance (5 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc27c88881909c64ec30b7f66575 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eaf952c81908c45b511f0231340 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f15c2808190905e40c6db9d957c |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac633749008190bae63644d5ee7cea |
completed | March 7, 2026, 5:41 p.m. |
Created at: March 1, 2026, 7:44 p.m.