Triple
T18059783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hötorgscity |
E432139
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Klarabergsgatan |
—
|
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: Klarabergsgatan | Statement: [Hötorgscity, near, Klarabergsgatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klarabergsgatan Context triple: [Hötorgscity, near, Klarabergsgatan]
-
A.
Klarabergsgatan
chosen
Klarabergsgatan is a major central street in Stockholm, Sweden, known for its busy commercial activity and role as a key thoroughfare in the Norrmalm district.
-
B.
Kungsholmsgatan
Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
-
C.
Strömgatan
Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
-
D.
Sveavägen
Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
-
E.
Västerlånggatan
Västerlånggatan is a historic, narrow main street in Stockholm’s Old Town known for its medieval atmosphere, 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.