Triple
T17834465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tegnergatan |
E445345
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Tegnergatan (sv) |
—
|
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: Tegnergatan (sv) | Statement: [Tegnergatan, hasNameInLanguage, Tegnergatan (sv)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegnergatan (sv) Context triple: [Tegnergatan, hasNameInLanguage, Tegnergatan (sv)]
-
A.
Tegnergatan
chosen
Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
-
B.
Linnégatan
Linnégatan is a prominent street in central Stockholm, Sweden, known for its shops, restaurants, and urban city life.
-
C.
Nybrogatan
Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
-
D.
Fleminggatan
Fleminggatan is a major street on Kungsholmen in central Stockholm, Sweden, known for its shops, offices, and proximity to the Fridhemsplan transport hub.
-
E.
Skånegatan
Skånegatan is a prominent street in Gothenburg, Sweden, known for connecting major event venues and serving as a key thoroughfare in the city’s entertainment district.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d271e4481909664897cb789fe4a |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.