Triple
T18059833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasastan |
E432140
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Karlbergsvägen |
—
|
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: Karlbergsvägen | Statement: [Vasastan, contains, Karlbergsvägen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karlbergsvägen Context triple: [Vasastan, contains, Karlbergsvägen]
-
A.
Karlbergsvägen
chosen
Karlbergsvägen is a notable street in the Vasastan district of central Stockholm, Sweden, known for its residential buildings, shops, and proximity to Karlberg Palace and nearby parks.
-
B.
Karlavägen
Karlavägen is a major, tree-lined boulevard in central Stockholm known for its elegant architecture and location in the upscale Östermalm district.
-
C.
Monteliusvägen
Monteliusvägen is a scenic walking path in Stockholm known for its panoramic views over the city and Lake Mälaren.
-
D.
Upplandsgatan
Upplandsgatan is a street in central Stockholm, Sweden, known for its residential buildings, proximity to major transport hubs, and connection to several key city thoroughfares.
-
E.
Sturegatan
Sturegatan is a central street in Stockholm, Sweden, known for its proximity to Humlegården park and its mix of offices, shops, and restaurants.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.