Triple
T23123858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna tramway network |
E576971
|
entity |
| Predicate | hasRollingStockType |
P1305
|
FINISHED |
| Object | ULF tram |
—
|
NE NERFINISHED |
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: ULF tram | Statement: [Vienna tramway network, hasRollingStockType, ULF tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ULF tram Context triple: [Vienna tramway network, hasRollingStockType, ULF tram]
-
A.
Ulf-type low-floor tram
chosen
The Ulf-type low-floor tram is a modern, fully accessible tram design featuring a low-floor configuration for easy boarding and improved passenger comfort.
-
B.
Oslo Tram SL95
The Oslo Tram SL95 is a high-floor, bi-directional tram model used in Oslo’s light rail network, known for its large capacity and distinctive articulated design.
-
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.
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.
-
E.
Tram 2000
Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5299c08190a578102cf2ff7080 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.