Triple
T15040598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariaberget |
E378588
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Bellmansgatan
Bellmansgatan is a historic street on the Mariaberget hill in Stockholm, Sweden, known for its picturesque old buildings and views over the city.
|
E1143785
|
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: Bellmansgatan | Statement: [Mariaberget, hasStreet, Bellmansgatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellmansgatan Context triple: [Mariaberget, hasStreet, Bellmansgatan]
-
A.
Kungsholmsgatan
Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
-
B.
Strömgatan
Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
-
C.
Klarabergsgatan
Klarabergsgatan is a major central street in Stockholm, Sweden, known for its busy commercial activity and role as a key thoroughfare in the Norrmalm district.
-
D.
Sveavägen
Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
-
E.
Skånegatan
Skånegatan is a prominent street in Gothenburg, Sweden, known for connecting major event venues and serving as a key thoroughfare in the city’s entertainment district.
- 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: Bellmansgatan Triple: [Mariaberget, hasStreet, Bellmansgatan]
Generated description
Bellmansgatan is a historic street on the Mariaberget hill in Stockholm, Sweden, known for its picturesque old buildings and views over the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bellmansgatan Target entity description: Bellmansgatan is a historic street on the Mariaberget hill in Stockholm, Sweden, known for its picturesque old buildings and views over the city.
-
A.
Kungsholmsgatan
Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
-
B.
Strömgatan
Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
-
C.
Klarabergsgatan
Klarabergsgatan is a major central street in Stockholm, Sweden, known for its busy commercial activity and role as a key thoroughfare in the Norrmalm district.
-
D.
Sveavägen
Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
-
E.
Skånegatan
Skånegatan is a prominent street in Gothenburg, Sweden, known for connecting major event venues and serving as a key thoroughfare in the city’s entertainment district.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31debb48190908d59178e67adb6 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed50514b08190bc50d2e700d82e69 |
completed | May 9, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed5693ff08190b16b4c8fc8bdf959 |
completed | May 9, 2026, 6:34 a.m. |
Created at: April 10, 2026, 3 a.m.