Triple
T21518839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kallhäll station |
E530918
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kallhäll |
—
|
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: Kallhäll | Statement: [Kallhäll station, locatedIn, Kallhäll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kallhäll Context triple: [Kallhäll station, locatedIn, Kallhäll]
-
A.
Kallhäll
chosen
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
-
B.
Kållerado
Kållerado is a popular river rapids ride at the Liseberg amusement park in Gothenburg, Sweden.
-
C.
Lillhälla
Lillhälla is a small island located within the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
-
D.
Hägersten
Hägersten is a residential district in southern Stockholm, Sweden, known for its mix of apartment blocks, green areas, and proximity to the city center.
-
E.
Sköllersta
Sköllersta is a locality in central Sweden situated within Örebro County, known as one of the settlements in Hallsberg Municipality.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee81438cbc8190aba0f546b27eb2a4 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:25 p.m.