Triple
T1057549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regjeringskvartalet |
E22829
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Youngstorget |
E119740
|
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: Youngstorget | Statement: [Regjeringskvartalet, nearby, Youngstorget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Youngstorget Context triple: [Regjeringskvartalet, nearby, Youngstorget]
-
A.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
-
B.
Sergels torg
Sergels torg is a central public square and major meeting point in downtown Stockholm, known for its modernist design and iconic glass obelisk.
-
C.
Jernbanetorget square
chosen
Jernbanetorget square is a major public square and central transport hub in downtown Oslo, serving as a key meeting point and gateway to the city.
-
D.
Old Town, Stockholm
Old Town, Stockholm is the historic medieval center of Sweden’s capital, known for its cobblestone streets, colorful buildings, and major institutions like the Swedish Academy and the Royal Palace.
-
E.
Kungsgatan
Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8da80dc8190b79beaf509910725 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53864a20819081fc59e7102a6e00 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:42 p.m.