Triple
T15215980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ORF |
E363636
|
entity |
| Predicate | offersService |
P178
|
FINISHED |
| Object | ORF TVthek |
E1062652
|
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: ORF TVthek | Statement: [ORF, offersService, ORF TVthek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORF TVthek Context triple: [ORF, offersService, ORF TVthek]
-
A.
ORF TVthek
chosen
ORF TVthek is the Austrian Broadcasting Corporation’s online video platform offering on-demand access to its television programs and live streams.
-
B.
ORF
ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
-
C.
ORF
ORF is the three-letter IATA airport code for Norfolk International Airport in Norfolk, Virginia.
-
D.
ZDFmediathek
ZDFmediathek is the online streaming and on-demand media platform of the German public broadcaster ZDF, offering access to its TV programs, series, films, and live streams.
-
E.
Österreichischer Rundfunk
Österreichischer Rundfunk is Austria’s national public broadcasting organization, operating multiple television, radio, and online 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.