Triple
T6431416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zürich tram network |
E129786
|
entity |
| Predicate | hasRollingStockType |
P1305
|
FINISHED |
| Object | Cobra tram |
E452073
|
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: Cobra tram | Statement: [Zürich tram network, hasRollingStockType, Cobra tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobra tram Context triple: [Zürich tram network, hasRollingStockType, Cobra tram]
-
A.
Cobra trams
chosen
Cobra trams are a modern low-floor tram type used in the Bern tram network, known for their articulated design and improved passenger accessibility.
-
B.
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.
-
C.
Alweg Monorail
The Alweg Monorail is an elevated monorail system in Seattle that became an iconic symbol of mid-20th-century futuristic transportation design.
-
D.
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.
-
E.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693cadf08190aca84888a3440b3d |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e9ae8481909229bcf6d5e793d3 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:44 p.m.