Triple
T5281355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltsjöbanan |
E119504
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Lillängen station |
E502361
|
NE FINISHED |
How this triple was built (2 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: Lillängen station | Statement: [Saltsjöbanan, hasStation, Lillängen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lillängen station Context triple: [Saltsjöbanan, hasStation, Lillängen station]
-
A.
Märsta Station
Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
-
B.
Stäket station
Stäket station is a local railway stop serving the Stäket area within Järfälla Municipality in the Stockholm region of Sweden.
-
C.
Saltsjöbaden station
chosen
Saltsjöbaden station is a suburban railway station in Saltsjöbaden, Sweden, serving as a terminus on the Saltsjöbanan line connecting the coastal resort area to central Stockholm.
-
D.
Västerhaninge station
Västerhaninge station is a commuter rail station in the locality of Västerhaninge, serving as part of the Stockholm commuter rail network in Haninge Municipality, Sweden.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c5212481909cb3b5f43c0eedc0 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e27b5081908b755a817d4c260a |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.