Triple
T23250658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unterföhring |
E581721
|
entity |
| Predicate | hasCompany |
P1287
|
FINISHED |
| Object | Sky Deutschland |
—
|
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: Sky Deutschland | Statement: [Unterföhring, hasCompany, Sky Deutschland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Deutschland Context triple: [Unterföhring, hasCompany, Sky Deutschland]
-
A.
Sky Deutschland
chosen
Sky Deutschland is a German pay television and streaming provider offering premium sports, film, and entertainment channels to subscribers in Germany and Austria.
-
B.
Sky Italia
Sky Italia is a major Italian satellite television and media company offering a wide range of pay-TV channels, sports, films, and entertainment services.
-
C.
Sky (UK and Ireland)
Sky (UK and Ireland) is a major satellite television and telecommunications provider serving customers across the United Kingdom and Ireland.
-
D.
MTV Germany
MTV Germany is a German-language music and entertainment television channel targeting youth audiences with music videos, reality shows, and pop culture programming.
-
E.
SKY
SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.