Triple
T5318107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZDF |
E121600
|
entity |
| Predicate | ownsChannel |
P61714
|
FINISHED |
| Object | ZDFtivi |
E510206
|
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: ZDFtivi | Statement: [ZDF, ownsChannel, ZDFtivi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZDFtivi Context triple: [ZDF, ownsChannel, ZDFtivi]
-
A.
ZDF
ZDF is Germany’s national public-service television broadcaster, known for producing and co-producing a wide range of news, cultural, and documentary programming.
-
B.
ZDFinfo
chosen
ZDFinfo is a German television channel specializing in documentaries and informational programming, operated by the public broadcaster ZDF.
-
C.
ProSieben
ProSieben is a major German free-to-air television channel known for entertainment programming, international series, and large-scale event broadcasts.
-
D.
Westdeutscher Rundfunk (WDR)
Westdeutscher Rundfunk (WDR) is a major German public broadcasting institution that produces radio, television, and online content primarily for the federal state of North Rhine-Westphalia.
-
E.
Norddeutscher Rundfunk
Norddeutscher Rundfunk is a major German public broadcasting organization serving the northern states with radio, television, and online media.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91aab9348190a373b30bb305f933 |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf188d3a2c8190ad06d1b71ef73780 |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:59 p.m.