Triple
T13971912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmö Arena |
E336084
|
entity |
| Predicate | publicTransitAccess |
P1288
|
FINISHED |
| Object |
Hyllie station
Hyllie station is a major railway and transport hub in Malmö, Sweden, serving regional and international trains as well as local transit connections.
|
E1074670
|
NE FINISHED |
How this triple was built (4 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: [Malmö Arena, publicTransitAccess, Hyllie station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyllie station Context triple: [Malmö Arena, publicTransitAccess, Hyllie station]
-
A.
Storo station
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
-
B.
Strømmen Station
Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail network.
-
C.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
D.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
E.
Vallentuna station
Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hyllie station Triple: [Malmö Arena, publicTransitAccess, Hyllie station]
Generated description
Hyllie station is a major railway and transport hub in Malmö, Sweden, serving regional and international trains as well as local transit connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hyllie station Target entity description: Hyllie station is a major railway and transport hub in Malmö, Sweden, serving regional and international trains as well as local transit connections.
-
A.
Storo station
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
-
B.
Strømmen Station
Strømmen Station is a railway station serving the town of Strømmen in Viken county, Norway, on the Oslo commuter rail network.
-
C.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
D.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
E.
Vallentuna station
Vallentuna station is a commuter rail stop on Stockholm’s Roslagsbanan narrow-gauge railway serving the locality of Vallentuna in Sweden.
- F. None of above. chosen
Provenance (5 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac90250881908f1945793d261752 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae3d04f081908c8d28148b4f1de0 |
completed | May 6, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf41636c8190bf44bd238bd9d9a4 |
completed | May 6, 2026, 9:14 p.m. |
Created at: April 9, 2026, 10:18 p.m.