Triple
T23029916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colosseum kino |
E573428
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object |
Fridtjof Nansens vei
Fridtjof Nansens vei is a street in Oslo, Norway, named after the explorer and humanitarian Fridtjof Nansen.
|
E1565931
|
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: Fridtjof Nansens vei | Statement: [Colosseum kino, locatedOnStreet, Fridtjof Nansens vei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fridtjof Nansens vei Context triple: [Colosseum kino, locatedOnStreet, Fridtjof Nansens vei]
-
A.
Bogstadveien
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
-
B.
Kirkeveien
Kirkeveien is a prominent thoroughfare in Oslo, Norway, known for running through the Majorstuen area and connecting several central neighborhoods and parks.
-
C.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
D.
Trondheimsveien
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
-
E.
Lysebotnvegen
Lysebotnvegen is a scenic mountain road in Norway known for its dramatic hairpin bends, steep climbs, and panoramic views over the Lysefjord.
- 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: Fridtjof Nansens vei Triple: [Colosseum kino, locatedOnStreet, Fridtjof Nansens vei]
Generated description
Fridtjof Nansens vei is a street in Oslo, Norway, named after the explorer and humanitarian Fridtjof Nansen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fridtjof Nansens vei Target entity description: Fridtjof Nansens vei is a street in Oslo, Norway, named after the explorer and humanitarian Fridtjof Nansen.
-
A.
Bogstadveien
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
-
B.
Kirkeveien
Kirkeveien is a prominent thoroughfare in Oslo, Norway, known for running through the Majorstuen area and connecting several central neighborhoods and parks.
-
C.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
D.
Trondheimsveien
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
-
E.
Lysebotnvegen
Lysebotnvegen is a scenic mountain road in Norway known for its dramatic hairpin bends, steep climbs, and panoramic views over the Lysefjord.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f184803e908190b1e58545b9c3d587 |
completed | April 29, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2b3ac308190bc241acfd02903d8 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf70818608190b6d7c5ee633bb4ce |
completed | May 19, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf76284988190ac4b8f08859aecc6 |
completed | May 19, 2026, 5:38 a.m. |
Created at: April 17, 2026, 3:53 p.m.