Triple
T18136290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rådmansgatan metro station |
E434144
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rådmansgatan |
—
|
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: Rådmansgatan | Statement: [Rådmansgatan metro station, namedAfter, Rådmansgatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rådmansgatan Context triple: [Rådmansgatan metro station, namedAfter, Rådmansgatan]
-
A.
Rådmansgatan
chosen
Rådmansgatan is a street in central Stockholm, Sweden, known for lending its name to and serving as an access point for the nearby Rådmansgatan metro station.
-
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.
Torsgatan
Torsgatan is a major street in central Stockholm, Sweden, known for linking key districts and hosting a mix of residential, commercial, and historic buildings.
-
E.
Upplandsgatan
Upplandsgatan is a street in central Stockholm, Sweden, known for its residential buildings, proximity to major transport hubs, and connection to several key city thoroughfares.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de07b4b4819085fe80beb7addfd0 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.