Triple
T22519937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamla stan metro station |
E556746
|
entity |
| Predicate | crossesUnder |
P15805
|
FINISHED |
| Object | Stadshusbron area |
—
|
NE NERFINISHED |
How this triple was built (3 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: Stadshusbron area | Statement: [Gamla stan metro station, crossesUnder, Stadshusbron area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadshusbron area Context triple: [Gamla stan metro station, crossesUnder, Stadshusbron area]
-
A.
Karolinenbrücke area
The Karolinenbrücke area is a picturesque riverside quarter in Landsberg am Lech’s old town, known for its historic architecture and views along the Lech River.
-
B.
Skeppsbron area
The Skeppsbron area is a historic waterfront quay in central Stockholm’s Old Town, known for its harborside promenade, views over the archipelago, and role as a key ferry and boat terminal.
-
C.
Ekeberg area
The Ekeberg area is a hillside district in Oslo, Norway, known for its panoramic views over the city and Oslofjord, public parklands, and cultural attractions such as the Ekebergparken Sculpture Park.
-
D.
Nordstan area
The Nordstan area is a major commercial district in central Gothenburg, Sweden, best known for its large shopping center and proximity to key transport hubs.
-
E.
Karl Johans gate area
Karl Johans gate area is a central and historic district in Oslo, Norway, centered around the city’s main boulevard with prominent cultural, governmental, and commercial landmarks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stadshusbron area Target entity description: The Stadshusbron area is the central waterfront district around Stockholm City Hall, characterized by its key bridge connection and proximity to major transport links and historic city quarters.
-
A.
Karolinenbrücke area
The Karolinenbrücke area is a picturesque riverside quarter in Landsberg am Lech’s old town, known for its historic architecture and views along the Lech River.
-
B.
Skeppsbron area
The Skeppsbron area is a historic waterfront quay in central Stockholm’s Old Town, known for its harborside promenade, views over the archipelago, and role as a key ferry and boat terminal.
-
C.
Ekeberg area
The Ekeberg area is a hillside district in Oslo, Norway, known for its panoramic views over the city and Oslofjord, public parklands, and cultural attractions such as the Ekebergparken Sculpture Park.
-
D.
Nordstan area
The Nordstan area is a major commercial district in central Gothenburg, Sweden, best known for its large shopping center and proximity to key transport hubs.
-
E.
Karl Johans gate area
Karl Johans gate area is a central and historic district in Oslo, Norway, centered around the city’s main boulevard with prominent cultural, governmental, and commercial landmarks.
- F. None of above. chosen
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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e31f43c8190899f5e35b150fe85 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.