Triple
T20777536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nynäs Line |
E511391
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Älvsjö |
—
|
NE NERFINISHED |
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: Älvsjö | Statement: [Nynäs Line, terminus, Älvsjö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Älvsjö Context triple: [Nynäs Line, terminus, Älvsjö]
-
A.
Älvsjö
chosen
Älvsjö is a suburban district in southern Stockholm, Sweden, known for its residential areas and the Stockholm International Fairs exhibition center.
-
B.
Kungälv
Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
-
C.
Vättern
Vättern is Sweden's second-largest lake, renowned for its clear waters and surrounding historic towns and landscapes.
-
D.
Ältasjön
Ältasjön is a lake in the Stockholm area of Sweden, known for its recreational opportunities and natural surroundings within the Nacka nature reserve.
-
E.
Munksjön
Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26d34bc81908bb22087d434322d |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.