Triple
T6376544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Götaplatsen |
E143479
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Kungsportsavenyen |
E588699
|
NE FINISHED |
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: Kungsportsavenyen | Statement: [Götaplatsen, hasViewOf, Kungsportsavenyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kungsportsavenyen Context triple: [Götaplatsen, hasViewOf, Kungsportsavenyen]
-
A.
Kungsportsavenyen
chosen
Kungsportsavenyen is a major boulevard and central thoroughfare in Gothenburg, Sweden, known for its shops, restaurants, and cultural venues.
-
B.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
C.
Bogstadveien
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
-
D.
Trondheimsveien
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
-
E.
Kungsgatan
Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683bfc7081908b15c3c9a3c72e7b |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64badc3c481908199bf32069cc1c7 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:33 p.m.