Triple
T14100725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øresund Line |
E339371
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Hyllie station |
E1074670
|
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: Hyllie station | Statement: [Øresund Line, hasStation, Hyllie station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyllie station Context triple: [Øresund Line, hasStation, Hyllie station]
-
A.
Hyllie station
chosen
Hyllie station is a major railway and transport hub in Malmö, Sweden, serving regional and international trains as well as local transit connections.
-
B.
Storo station
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
-
C.
Strømmen Station
Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail network.
-
D.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
E.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fba7c10819095b1299b7b4f0310 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf02638881908eff75453b6a2aab |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.