Triple
T15074277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidingöbanan line 21 |
E379957
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Aga station
Aga station is a tram stop on the Lidingöbanan light rail line serving the island of Lidingö in the Stockholm metropolitan area of Sweden.
|
E1137463
|
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: Aga station | Statement: [Lidingöbanan line 21, hasStation, Aga station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aga station Context triple: [Lidingöbanan line 21, hasStation, Aga station]
-
A.
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.
-
B.
Kottla station
Kottla station is a stop on Stockholm’s Lidingöbanan light rail line serving the Kottla area on the island of Lidingö in Sweden.
-
C.
Gnesta Station
Gnesta Station is a key railway station in the town of Gnesta, Sweden, serving as an important terminus and hub on the Stockholm commuter rail network.
-
D.
Igelboda station
Igelboda station is a local stop on the Saltsjöbanan suburban railway line serving the Saltsjöbaden area near Stockholm, Sweden.
-
E.
Eiksmarka station
Eiksmarka station is a suburban rapid transit stop on the Oslo Metro network serving the Eiksmarka area in the western outskirts of Oslo, Norway.
- 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: Aga station Triple: [Lidingöbanan line 21, hasStation, Aga station]
Generated description
Aga station is a tram stop on the Lidingöbanan light rail line serving the island of Lidingö in the Stockholm metropolitan area of Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aga station Target entity description: Aga station is a tram stop on the Lidingöbanan light rail line serving the island of Lidingö in the Stockholm metropolitan area of Sweden.
-
A.
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.
-
B.
Kottla station
Kottla station is a stop on Stockholm’s Lidingöbanan light rail line serving the Kottla area on the island of Lidingö in Sweden.
-
C.
Gnesta Station
Gnesta Station is a key railway station in the town of Gnesta, Sweden, serving as an important terminus and hub on the Stockholm commuter rail network.
-
D.
Igelboda station
Igelboda station is a local stop on the Saltsjöbanan suburban railway line serving the Saltsjöbaden area near Stockholm, Sweden.
-
E.
Eiksmarka station
Eiksmarka station is a suburban rapid transit stop on the Oslo Metro network serving the Eiksmarka area in the western outskirts of Oslo, Norway.
- 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_69feae13f76881908485b3507b380799 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feafdbf5c08190b4b219009dbeb511 |
completed | May 9, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb05a3a308190930594538d79722a |
completed | May 9, 2026, 3:56 a.m. |
Created at: April 10, 2026, 3:02 a.m.