Triple
T1847155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volgograd Metrotram |
E41308
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object |
71-619 tram
The 71-619 tram is a Soviet/Russian high-floor, four-axle tramcar model widely used in various cities across Russia and the former Soviet Union.
|
E208462
|
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: 71-619 tram | Statement: [Volgograd Metrotram, rollingStock, 71-619 tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 71-619 tram Context triple: [Volgograd Metrotram, rollingStock, 71-619 tram]
-
A.
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.
-
B.
SL79 tram
The SL79 tram is a class of articulated light rail vehicles used for passenger service on the Oslo Tramway network in Norway.
-
C.
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.
-
D.
SL18 tram
The SL18 tram is a modern low-floor light rail vehicle introduced to upgrade and expand passenger service on the Oslo Tramway network.
-
E.
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.
- 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: 71-619 tram Triple: [Volgograd Metrotram, rollingStock, 71-619 tram]
Generated description
The 71-619 tram is a Soviet/Russian high-floor, four-axle tramcar model widely used in various cities across Russia and the former Soviet Union.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 71-619 tram Target entity description: The 71-619 tram is a Soviet/Russian high-floor, four-axle tramcar model widely used in various cities across Russia and the former Soviet Union.
-
A.
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.
-
B.
SL79 tram
The SL79 tram is a class of articulated light rail vehicles used for passenger service on the Oslo Tramway network in Norway.
-
C.
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.
-
D.
SL18 tram
The SL18 tram is a modern low-floor light rail vehicle introduced to upgrade and expand passenger service on the Oslo Tramway network.
-
E.
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.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb052e0a8819091bbc0da0e0a20fb |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c6941081909cef987ebe4b4d6c |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add28a8f848190bf6ea0924e7dd9fc |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add37ad9a481908b2a1476a8d33091 |
completed | March 8, 2026, 7:52 p.m. |
Created at: March 4, 2026, 7:33 p.m.