Triple
T6311961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märsta |
E141523
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Märsta station |
E467339
|
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: Märsta station | Statement: [Märsta, hasRailwayStation, Märsta station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Märsta station Context triple: [Märsta, hasRailwayStation, Märsta station]
-
A.
Märsta Station
chosen
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.
Unna station
Unna station is the main railway station serving the town of Unna in North Rhine-Westphalia, Germany, providing regional and local train connections.
-
D.
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.
-
E.
Valhalla station
Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649d1e048190a3fc7fbce9d2ee57 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e461e2ec8190af7198a03edb1ff7 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.