Triple
T21320717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sveavägen |
E525605
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Sergels torg |
—
|
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: Sergels torg | Statement: [Sveavägen, connectedTo, Sergels torg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergels torg Context triple: [Sveavägen, connectedTo, Sergels torg]
-
A.
Sergels torg
chosen
Sergels torg is a central public square and major meeting point in downtown Stockholm, known for its modernist design and iconic glass obelisk.
-
B.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
-
C.
Gustav Adolfs torg
Gustav Adolfs torg is a central public square in Malmö, Sweden, known as a major hub for city life, events, and public transportation.
-
D.
Gustav Adolfs torg
Gustav Adolfs torg is a central public square in Stockholm, Sweden, known for its historic buildings, cultural institutions, and role as a prominent civic and ceremonial space.
-
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 (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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed0a2788190b6a71c8c720173dc |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:39 p.m.