Triple
T10209852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTL Group |
E242297
|
entity |
| Predicate | ownsTVChannel |
P61714
|
FINISHED |
| Object | RTL 4 |
E583103
|
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: RTL 4 | Statement: [RTL Group, ownsTVChannel, RTL 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTL 4 Context triple: [RTL Group, ownsTVChannel, RTL 4]
-
A.
RTL 4
chosen
RTL 4 is a major Dutch commercial television channel known for broadcasting popular entertainment shows, dramas, and reality series.
-
B.
R4
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
RC Racer
RC Racer is a high-speed, U-shaped shuttle roller coaster themed after the remote-control car from Pixar's Toy Story films.
-
E.
Road 4
Road 4 is a major north–south highway in Israel that runs along the country’s coastal plain and connects numerous key cities and junctions.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f860048190bb20f7d3bf87f347 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652cca9c081909f705365c70db009 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11 a.m.