Triple
T21963331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Line (Stockholm metro) |
E542391
|
entity |
| Predicate | hasRollingStock |
P1305
|
FINISHED |
| Object | C30 train |
—
|
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: C30 train | Statement: [Red Line (Stockholm metro), hasRollingStock, C30 train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C30 train Context triple: [Red Line (Stockholm metro), hasRollingStock, C30 train]
-
A.
C30 trains
chosen
C30 trains are a modern fleet of metro cars introduced to upgrade and expand passenger service on Stockholm’s Green line.
-
B.
MX3000 train
The MX3000 train is a modern electric multiple unit used as the primary passenger rolling stock on the Oslo Metro system in Norway.
-
C.
C train
The C train is a local service on the New York City Subway’s Eighth Avenue Line, running primarily between Upper Manhattan and Brooklyn.
-
D.
DT3 train
The DT3 train is a type of electric multiple unit specifically designed for and operated on the Nuremberg U-Bahn rapid transit system in Germany.
-
E.
3 train
The 3 train is a New York City Subway service that runs on the IRT Lenox Avenue and Eastern Parkway Lines, connecting Manhattan and Brooklyn.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12458e4488190a04f8d3958854b49 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.