Triple
T15074276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidingöbanan line 21 |
E379957
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Torsvik station
Torsvik station is a stop on Stockholm’s Lidingöbanan light rail line serving the Torsvik area on the island of Lidingö.
|
E1138062
|
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: Torsvik station | Statement: [Lidingöbanan line 21, hasStation, Torsvik station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torsvik station Context triple: [Lidingöbanan line 21, hasStation, Torsvik station]
-
A.
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.
-
B.
Ulsrud station
Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
-
C.
Hokksund Station
Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
-
D.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
E.
Brevik station
Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
- 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: Torsvik station Triple: [Lidingöbanan line 21, hasStation, Torsvik station]
Generated description
Torsvik station is a stop on Stockholm’s Lidingöbanan light rail line serving the Torsvik area on the island of Lidingö.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torsvik station Target entity description: Torsvik station is a stop on Stockholm’s Lidingöbanan light rail line serving the Torsvik area on the island of Lidingö.
-
A.
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.
-
B.
Ulsrud station
Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
-
C.
Hokksund Station
Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
-
D.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
E.
Brevik station
Brevik station is a tram stop on Stockholm’s Lidingöbanan light rail line serving the Brevik area on Lidingö island.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fa0570819088a97b28173154cd |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7dfae748190a0d59df5cbd5787d |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb945ec7481909f4bfbf628985af8 |
completed | May 9, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9a010ec819087df75319550cc88 |
completed | May 9, 2026, 4:35 a.m. |
Created at: April 10, 2026, 3:02 a.m.