Triple
T4688706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SL buses |
E103981
|
entity |
| Predicate | integratedWith |
P2830
|
FINISHED |
| Object | SL trams |
E379955
|
NE FINISHED |
How this triple was built (2 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: SL trams | Statement: [SL buses, integratedWith, SL trams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL trams Context triple: [SL buses, integratedWith, SL trams]
-
A.
SL tramways
chosen
SL tramways is the public tram network serving Stockholm, Sweden, operated under the SL (Storstockholms Lokaltrafik) regional transit system.
-
B.
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.
-
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.
SL79 tram
The SL79 tram is a class of articulated light rail vehicles used for passenger service on the Oslo Tramway network in Norway.
-
E.
Stadler Tango trams
Stadler Tango trams are modern, low-floor light rail vehicles built by Stadler Rail, commonly used in European cities for high-capacity, urban public transport services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6399621881909aa8ffb1c27284e9 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be105a709c819083504fe1dc1612d8 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.