Triple
T23030079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majorstuen skole |
E573432
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Majorstuen |
—
|
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: Majorstuen | Statement: [Majorstuen skole, locatedIn, Majorstuen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majorstuen Context triple: [Majorstuen skole, 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.
Majorstuen Church
Majorstuen Church is a parish church in the Majorstuen neighborhood of Oslo, Norway, serving the local Lutheran congregation.
-
C.
Karlstor
Karlstor is a historic city gate in Munich, Germany, marking the western entrance to the city’s old town and serving as a prominent landmark at the end of the main shopping street.
-
D.
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.
-
E.
Odenplan square
Odenplan square is a major public square and transport hub in central Stockholm, known for its busy pedestrian traffic, shops, cafés, and access to multiple transit lines.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f184803e908190b1e58545b9c3d587 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.