Triple
T14056718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 (Copenhagen Metro) |
E338237
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Lindevang station |
E890892
|
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: Lindevang station | Statement: [M1 (Copenhagen Metro), hasStation, Lindevang station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindevang station Context triple: [M1 (Copenhagen Metro), hasStation, Lindevang station]
-
A.
Lindevang Station
chosen
Lindevang Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
-
B.
Flintholm station
Flintholm station is a major Copenhagen transport hub that serves both the Metro and S-train networks, facilitating easy transfers between multiple lines.
-
C.
Henriksdal station
Henriksdal station is a commuter rail stop in the Stockholm area that serves passengers on the Saltsjöbanan line.
-
D.
Værnes Station
Værnes Station is a railway station in Stjørdal, Norway, serving passengers traveling to and from Trondheim Airport, Værnes.
-
E.
Veitvet station
Veitvet station is a metro stop in Oslo, Norway, located in the Veitvet neighborhood and forming part of the city's rapid transit network.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8e6d008190af8892f34c5cefbd |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324133f8819088c0d80a4e8fb5be |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:20 p.m.