Triple
T21288622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Government Quarter |
E524727
|
entity |
| Predicate | cityBlockBoundedBy |
P43688
|
FINISHED |
| Object | Møllergata |
—
|
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: Møllergata | Statement: [Norwegian Government Quarter, cityBlockBoundedBy, Møllergata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Møllergata Context triple: [Norwegian Government Quarter, cityBlockBoundedBy, Møllergata]
-
A.
Møllergata
chosen
Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial areas.
-
B.
Hedmarksgata
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
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.
Nordre gate
Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
-
E.
Søndre gate
Søndre gate is a central street in Trondheim, Norway, known for its shops, cafes, and role as a main thoroughfare in the Midtbyen district.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d882408190a2300327cb73b7f6 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.