Triple
T23273050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Singles Chart |
E588339
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | GfK Entertainment |
—
|
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: GfK Entertainment | Statement: [German Singles Chart, operator, GfK Entertainment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GfK Entertainment Context triple: [German Singles Chart, operator, GfK Entertainment]
-
A.
GfK Entertainment
chosen
GfK Entertainment is a German market research and chart company known for tracking and publishing official music and entertainment rankings in Germany.
-
B.
GFK
GFK is the IATA airport code for Grand Forks International Airport, a commercial and general aviation airport serving Grand Forks, North Dakota, USA.
-
C.
GFK
GFK is a Turkish professional football club based in Gaziantep that competes in the country's top leagues.
-
D.
Nielsen Company
Nielsen Company is a global measurement and data analytics firm best known for providing audience and consumer insights across media, entertainment, and retail industries.
-
E.
Nielsen
Nielsen is a common Scandinavian surname, particularly prevalent in Denmark and Norway, traditionally meaning "son of Niels."
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19575d8988190a8f8496f9110ce8c |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:47 p.m.