Triple
T5697853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krigslida station |
E125582
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object | Tungelsta station |
E515561
|
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: Tungelsta station | Statement: [Krigslida station, adjacentStation, Tungelsta station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tungelsta station Context triple: [Krigslida station, adjacentStation, Tungelsta station]
-
A.
Tungelsta station
chosen
Tungelsta station is a commuter rail station on Stockholm's Nynäs Line serving the Tungelsta locality in Haninge Municipality, Sweden.
-
B.
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.
-
C.
Stäket station
Stäket station is a local railway stop serving the Stäket area within Järfälla Municipality in the Stockholm region of Sweden.
-
D.
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.
-
E.
Östberga station
Östberga station is a local railway stop serving the suburban area of Djursholm in the Stockholm metropolitan region of Sweden.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240d6c0c8190bf970c7652fd9573 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097e576a481909b918bfc93082fa9 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:45 p.m.