Triple
T23083016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogstadveien |
E575527
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hegdehaugsveien |
—
|
NE NERFINISHED |
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: Hegdehaugsveien | Statement: [Bogstadveien, hasPart, Hegdehaugsveien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hegdehaugsveien Context triple: [Bogstadveien, hasPart, Hegdehaugsveien]
-
A.
Hegdehaugsveien
chosen
Hegdehaugsveien is a well-known shopping and commercial street in central Oslo, Norway, forming a continuous retail thoroughfare with Bogstadveien.
-
B.
Maridalsveien
Maridalsveien is a major street in Oslo, Norway, running north from the city center toward the Maridalen valley and serving as an important thoroughfare in the area.
-
C.
Lysebotnvegen
Lysebotnvegen is a scenic mountain road in Norway known for its dramatic hairpin bends, steep climbs, and panoramic views over the Lysefjord.
-
D.
Hedmarksgata
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
E.
Kirkeveien
Kirkeveien is a prominent thoroughfare in Oslo, Norway, known for running through the Majorstuen area and connecting several central neighborhoods and parks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da304548190ab7a421c1ded0eb6 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:56 p.m.