Triple
T17242911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltic Basketball League |
E418546
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | SEB |
E681812
|
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: SEB | Statement: [Baltic Basketball League, sponsor, SEB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEB Context triple: [Baltic Basketball League, sponsor, SEB]
-
A.
SEB
chosen
SEB is a major Swedish financial group and bank, historically linked to the influential Wallenberg family and known for its corporate and investment banking services in Northern Europe.
-
B.
SEB
SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
-
C.
SEBE
SEBE is the commonly used acronym for the Faculty of Science, Engineering and Built Environment at Deakin University.
-
D.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
E.
sebaste
Sebaste was a prestigious Byzantine court title, often granted to high-ranking women of the imperial family to signify their elevated status and influence.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21003c81908c884a3c8712676a |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f388608190b709b1c228a7ba29 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.