Triple
T23080719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bøler |
E575460
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object |
Østensjøveien
Østensjøveien is a major street in Oslo, Norway, running through the Østensjø district and serving as an important local thoroughfare.
|
E1571917
|
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: Østensjøveien | Statement: [Bøler, hasRoadConnection, Østensjøveien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Østensjøveien Context triple: [Bøler, hasRoadConnection, Østensjøveien]
-
A.
Kirkeveien
Kirkeveien is a prominent thoroughfare in Oslo, Norway, known for running through the Majorstuen area and connecting several central neighborhoods and parks.
-
B.
Fridtjof Nansens vei
Fridtjof Nansens vei is a street in Oslo, Norway, named after the explorer and humanitarian Fridtjof Nansen.
-
C.
Akersveien
Akersveien is a historic street in central Oslo, Norway, known for its traditional wooden houses and proximity to landmarks such as Gamle Aker Church.
-
D.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
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: Østensjøveien Triple: [Bøler, hasRoadConnection, Østensjøveien]
Generated description
Østensjøveien is a major street in Oslo, Norway, running through the Østensjø district and serving as an important local thoroughfare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Østensjøveien Target entity description: Østensjøveien is a major street in Oslo, Norway, running through the Østensjø district and serving as an important local thoroughfare.
-
A.
Kirkeveien
Kirkeveien is a prominent thoroughfare in Oslo, Norway, known for running through the Majorstuen area and connecting several central neighborhoods and parks.
-
B.
Fridtjof Nansens vei
Fridtjof Nansens vei is a street in Oslo, Norway, named after the explorer and humanitarian Fridtjof Nansen.
-
C.
Akersveien
Akersveien is a historic street in central Oslo, Norway, known for its traditional wooden houses and proximity to landmarks such as Gamle Aker Church.
-
D.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c67e06881908d24d6267bb49553 |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23dca4c08190a9619956a45aa17a |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 17, 2026, 3:56 p.m.