Triple
T6306718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majorstuen station |
E141393
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Majorstuen |
E137329
|
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: Majorstuen | Statement: [Majorstuen station, locatedIn, Majorstuen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majorstuen Context triple: [Majorstuen station, locatedIn, Majorstuen]
-
A.
Majorstuen
chosen
Majorstuen is a central neighborhood and transport hub in Oslo, Norway, known for its busy junction of metro and tram lines, shopping streets, and residential areas.
-
B.
Youngstorget
Youngstorget is a central public square in Oslo, Norway, known as a historic hub for political rallies, labor movement events, and urban social life.
-
C.
Stockholm City Hall
Stockholm City Hall is a prominent waterfront civic building in Sweden’s capital, famed for its distinctive brick tower and as the venue of the Nobel Prize banquet.
-
D.
Stortorvet
Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
-
E.
Majorstuen, Oslo
Majorstuen is a central neighborhood in Oslo, Norway, known for its busy transport hub, shopping streets, and cultural institutions.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647b69f08190bb085f9b700f6453 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e44c11f48190a8c3c36172cd8da0 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.