Triple
T20611510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svenska Handelsbanken |
E506458
|
entity |
| Predicate | hasBrandName |
P40804
|
FINISHED |
| Object | Handelsbanken |
—
|
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: Handelsbanken | Statement: [Svenska Handelsbanken, hasBrandName, Handelsbanken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handelsbanken Context triple: [Svenska Handelsbanken, hasBrandName, Handelsbanken]
-
A.
Svenska Handelsbanken
chosen
Svenska Handelsbanken is a major Swedish bank known for its decentralized organization, conservative risk profile, and strong presence across the Nordic region and the UK.
-
B.
Skandinaviska Enskilda Banken
Skandinaviska Enskilda Banken (SEB) is a major Swedish financial group providing banking and financial services across the Nordic and Baltic regions.
-
C.
Swedbank
Swedbank is a major Swedish banking group offering retail and corporate financial services primarily in Sweden and the Baltic countries.
-
D.
Danske Bank
Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
-
E.
Jyske Bank
Jyske Bank is one of Denmark’s largest financial institutions, offering a wide range of banking and financial services to individuals and businesses.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad81bdc8190aa6f6164f406a468 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.