Triple
T7545984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sollentuna |
E178401
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Norrviken station
Norrviken station is a commuter rail station in the Norrviken district of Sollentuna, north of central Stockholm, Sweden.
|
E690480
|
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: Norrviken station | Statement: [Sollentuna, hasRailwayStation, Norrviken station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norrviken station Context triple: [Sollentuna, hasRailwayStation, Norrviken station]
-
A.
Häggvik station
Häggvik station is a commuter rail station in the Häggvik district of Sollentuna, north of central Stockholm, Sweden.
-
B.
Bålsta Station
Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
-
C.
Besserud station
Besserud station is a metro stop on Oslo’s Holmenkollen Line serving the residential hillside area of Besserud in Oslo, Norway.
-
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.
Storo station
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
- 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: Norrviken station Triple: [Sollentuna, hasRailwayStation, Norrviken station]
Generated description
Norrviken station is a commuter rail station in the Norrviken district of Sollentuna, north of central Stockholm, Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norrviken station Target entity description: Norrviken station is a commuter rail station in the Norrviken district of Sollentuna, north of central Stockholm, Sweden.
-
A.
Häggvik station
Häggvik station is a commuter rail station in the Häggvik district of Sollentuna, north of central Stockholm, Sweden.
-
B.
Bålsta Station
Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
-
C.
Besserud station
Besserud station is a metro stop on Oslo’s Holmenkollen Line serving the residential hillside area of Besserud in Oslo, Norway.
-
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.
Storo station
Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89963ec8190ae7b8a2b9508c074 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c937a70a94819090ff91dfa463682b |
completed | March 29, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69c938769538819091952ba78b7ce0b6 |
completed | March 29, 2026, 2:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c93955ead08190acc9cd5fd09449ae |
completed | March 29, 2026, 2:38 p.m. |
Created at: March 27, 2026, 3:48 p.m.