Triple
T20777546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nynäs Line |
E511391
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Ösmo station
Ösmo station is a railway stop in Sweden that serves passengers on the Nynäs Line connecting communities south of Stockholm.
|
E1450466
|
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: Ösmo station | Statement: [Nynäs Line, hasStation, Ösmo station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ösmo station Context triple: [Nynäs Line, hasStation, Ösmo station]
-
A.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
B.
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.
-
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.
Bjerka Station
Bjerka Station is a railway station serving the village of Bjerka in the municipality of Hemnes in Nordland county, Norway.
-
E.
Lesja Station
Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
- 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: Ösmo station Triple: [Nynäs Line, hasStation, Ösmo station]
Generated description
Ösmo station is a railway stop in Sweden that serves passengers on the Nynäs Line connecting communities south of Stockholm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ösmo station Target entity description: Ösmo station is a railway stop in Sweden that serves passengers on the Nynäs Line connecting communities south of Stockholm.
-
A.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
B.
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.
-
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.
Bjerka Station
Bjerka Station is a railway station serving the village of Bjerka in the municipality of Hemnes in Nordland county, Norway.
-
E.
Lesja Station
Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26d34bc81908bb22087d434322d |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef97b6fc819084beba382b05b813 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f32ecdd48190b38a9119f285a7e9 |
completed | May 16, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f3a54f508190a95a951dbb1efc68 |
completed | May 16, 2026, 10:45 p.m. |
Created at: April 16, 2026, 12:37 p.m.