Triple
T17022049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernadotte Apartments |
E412968
|
entity |
| Predicate | hasNameInSwedish |
P11737
|
FINISHED |
| Object | Bernadottevåningen |
E412968
|
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: Bernadottevåningen | Statement: [Bernadotte Apartments, hasNameInSwedish, Bernadottevåningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernadottevåningen Context triple: [Bernadotte Apartments, hasNameInSwedish, Bernadottevåningen]
-
A.
Bernadotte Apartments
chosen
Bernadotte Apartments are a suite of state rooms in Stockholm Palace used for official royal receptions and ceremonies by the Swedish royal family.
-
B.
Rondslottet
Rondslottet is a prominent mountain peak in Norway’s Rondane range, known for being the area’s highest summit and a popular destination for hikers and mountaineers.
-
C.
Rosengård
Rosengård is a prominent Swedish football club based in Malmö, known for its successful women's team and history of developing world-class players.
-
D.
Söderhallarna
Söderhallarna is a central food hall and shopping complex on Södermalm in Stockholm, known for its market stalls, restaurants, and specialty shops.
-
E.
Slussen
Slussen is a major transport hub and metro station in central Stockholm, serving as a key interchange between multiple subway lines and other public transit.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d1d2e48190bbcba129247c6c2e |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4f9dfc819085639edb5cda1cca |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.