Triple
T18313016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norra Bantorget |
E438677
|
entity |
| Predicate | hasStreetBounding |
P959
|
FINISHED |
| Object | Barnhusgatan |
—
|
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: Barnhusgatan | Statement: [Norra Bantorget, hasStreetBounding, Barnhusgatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnhusgatan Context triple: [Norra Bantorget, hasStreetBounding, Barnhusgatan]
-
A.
Barnhusgatan
chosen
Barnhusgatan is a street in central Stockholm, Sweden, known for its location near the city’s main transport hubs and commercial areas.
-
B.
Fleminggatan
Fleminggatan is a major street on Kungsholmen in central Stockholm, Sweden, known for its shops, offices, and proximity to the Fridhemsplan transport hub.
-
C.
Tegnergatan
Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
-
D.
Birger Jarlsgatan
Birger Jarlsgatan is a major central street in Stockholm, Sweden, known for its upscale shops, offices, and role as a key thoroughfare through the Östermalm district.
-
E.
Linnégatan
Linnégatan is a prominent street in central Stockholm, Sweden, known for its shops, restaurants, and urban city life.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021a96b48190976273be3ff3e5c6 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.