Triple
T19882866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solna Station |
E477822
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Solna |
—
|
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: Solna | Statement: [Solna Station, locatedIn, Solna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solna Context triple: [Solna Station, locatedIn, Solna]
-
A.
Solna Municipality
chosen
Solna Municipality is an urban municipality in the Stockholm metropolitan area of Sweden, known for hosting major institutions such as Friends Arena and the Karolinska Institute.
-
B.
Södertälje
Södertälje is a Swedish city southwest of Stockholm known for its industrial heritage, diverse population, and strategic location linking Lake Mälaren with the Baltic Sea via the Södertälje Canal.
-
C.
Spånga
Spånga is a suburban district in western Stockholm, Sweden, known for its residential areas, local center, and commuter rail connections to the city.
-
D.
Eskilstuna
Eskilstuna is an industrial city in central Sweden known historically for its metalworking and engineering industries.
-
E.
Enköping
Enköping is a small Swedish town known for its numerous themed parks and gardens, often called “Sweden’s nearest town” due to its central location relative to several major cities.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658e0ccc88190b6f093035cd6f2a1 |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.