Triple
T6590333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rissne |
E159336
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Hallonbergen |
E110953
|
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: Hallonbergen | Statement: [Rissne, nearbyArea, Hallonbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallonbergen Context triple: [Rissne, nearbyArea, Hallonbergen]
-
A.
Hallonbergen
chosen
Hallonbergen is a residential district and metro-served suburb in the Stockholm urban area, known for its 1960s–70s apartment blocks and multicultural population.
-
B.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
-
C.
Hjorthagen
Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
-
D.
Rosersberg
Rosersberg is a locality in Stockholm County, Sweden, known for its historic Rosersberg Palace and its location near Stockholm Arlanda Airport.
-
E.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aecc969c81909a6e15ebe8dd3f94 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbb568508190b9da3475d1620ed5 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:55 p.m.