Triple
T12468047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SBS |
E297976
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | SBS Medianet |
E297976
|
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: SBS Medianet | Statement: [SBS, hasSubsidiary, SBS Medianet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBS Medianet Context triple: [SBS, hasSubsidiary, SBS Medianet]
-
A.
SBS
SBS is an elite British special forces unit of the Royal Navy specializing in maritime counter-terrorism, covert reconnaissance, and special operations.
-
B.
SBS
chosen
SBS is a South Korean public broadcasting organization known for its nationwide television and radio networks and popular entertainment, news, and drama programming.
-
C.
SBS
SBS is the commonly used abbreviation for Santa Bárbara Sistemas, a Spanish defense contractor known for manufacturing military vehicles, weapons, and ammunition.
-
D.
SBS
SBS is the School of Biological Sciences at Nanyang Technological University, a major academic unit focused on education and research in the life sciences.
-
E.
SBS Television
SBS Television is an Australian free-to-air public broadcasting network known for its multicultural and multilingual programming.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db979c481908778188794b2c08e |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2175c48190bbd28ad8c07434f0 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.