Triple
T18500294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SRF |
E452047
|
entity |
| Predicate | hasTelevisionChannelBrand |
P131912
|
FINISHED |
| Object | SRF zwei |
—
|
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: SRF zwei | Statement: [SRF, hasTelevisionChannelBrand, SRF zwei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRF zwei Context triple: [SRF, hasTelevisionChannelBrand, SRF zwei]
-
A.
SRF
chosen
SRF is the German-language division of the Swiss Broadcasting Corporation, responsible for producing and broadcasting radio, television, and online content in German-speaking Switzerland.
-
B.
SRF
SRF is a French filmmakers' association best known for organizing the Directors' Fortnight sidebar at the Cannes Film Festival and advocating for directors' artistic and professional interests.
-
C.
SRFC
SRFC is the commonly used abbreviation for Sacramento Republic FC, a professional soccer club based in Sacramento, California.
-
D.
SFR
SFR is a major French telecommunications company providing mobile, internet, and television services.
-
E.
SRZ
SRZ is the IATA airport code for El Trompillo Airport in Santa Cruz de la Sierra, Bolivia.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c3810c81908fa329c177c6d96c |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.