Triple
T15955166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Östermalmstorg |
E386914
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object | Stureplan |
E379937
|
NE FINISHED |
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: Stureplan | Statement: [Östermalmstorg, hasNearbyLandmark, Stureplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stureplan Context triple: [Östermalmstorg, hasNearbyLandmark, Stureplan]
-
A.
Stureplan
chosen
Stureplan is a central square and bustling nightlife and shopping hub in Stockholm, Sweden, known for its upscale restaurants, clubs, and iconic mushroom-shaped glass canopy.
-
B.
Odenplan
Odenplan is a major public square and transport hub in central Stockholm, Sweden.
-
C.
Gullmarsplan
Gullmarsplan is a major public transport hub and metro station in southern Stockholm, serving as a key connection point between multiple subway lines and bus routes.
-
D.
Nybroplan, Stockholm
Nybroplan, Stockholm is a prominent public square and transport hub in central Stockholm, known for its cultural institutions, theaters, and proximity to the waterfront.
-
E.
St. Eriksplan
St. Eriksplan is a well-known square and traffic hub in central Stockholm, featuring a metro station and surrounded by shops, cafes, and residential buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.