Triple
T16023305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nybrogatan |
E388655
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object |
Riddargatan
Riddargatan is a street in central Stockholm, Sweden, located in the upscale Östermalm district and known for its historic buildings and proximity to key city landmarks.
|
E1192647
|
NE FINISHED |
How this triple was built (4 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: Riddargatan | Statement: [Nybrogatan, hasNearbyStreet, Riddargatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riddargatan Context triple: [Nybrogatan, hasNearbyStreet, Riddargatan]
-
A.
Strömgatan
Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
-
B.
Sturegatan
Sturegatan is a central street in Stockholm, Sweden, known for its proximity to Humlegården park and its mix of offices, shops, and restaurants.
-
C.
Kungsholmsgatan
Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
-
D.
Götgatan
Götgatan is a major thoroughfare on Södermalm in central Stockholm, known for its shops, restaurants, and vibrant urban life.
-
E.
Sveavägen
Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Riddargatan Triple: [Nybrogatan, hasNearbyStreet, Riddargatan]
Generated description
Riddargatan is a street in central Stockholm, Sweden, located in the upscale Östermalm district and known for its historic buildings and proximity to key city landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riddargatan Target entity description: Riddargatan is a street in central Stockholm, Sweden, located in the upscale Östermalm district and known for its historic buildings and proximity to key city landmarks.
-
A.
Strömgatan
Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
-
B.
Sturegatan
Sturegatan is a central street in Stockholm, Sweden, known for its proximity to Humlegården park and its mix of offices, shops, and restaurants.
-
C.
Kungsholmsgatan
Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
-
D.
Götgatan
Götgatan is a major thoroughfare on Södermalm in central Stockholm, known for its shops, restaurants, and vibrant urban life.
-
E.
Sveavägen
Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
- F. None of above. chosen
Provenance (5 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18324bf308190b80bb445c7911198 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47280448190923a36e9a41ce7bc |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe517c8f081908a1275d0adf3053d |
completed | May 10, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe572be388190bb492b6f554ec808 |
completed | May 10, 2026, 1:54 a.m. |
Created at: April 10, 2026, 4:55 a.m.