Triple
T4548363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTS |
E110098
|
entity |
| Predicate | offersService |
P178
|
FINISHED |
| Object | RTS Couleur 3 |
E110101
|
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: RTS Couleur 3 | Statement: [RTS, offersService, RTS Couleur 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTS Couleur 3 Context triple: [RTS, offersService, RTS Couleur 3]
-
A.
RTS
RTS is the Swiss public broadcasting organization that provides French-language radio, television, and digital media services.
-
B.
Couleur 3
chosen
Couleur 3 is a Swiss public radio station known for its alternative, youth-oriented programming and contemporary music, operated by Radio Télévision Suisse.
-
C.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
D.
4900 Colours
4900 Colours is a large-scale abstract artwork by Gerhard Richter composed of thousands of vividly colored squares arranged in systematic grid formations.
-
E.
Pallette
Pallette is a surname most notably associated with American character actor Eugene Pallette, known for his distinctive gravelly voice and roles in classic Hollywood films of the 1930s and 1940s.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f272248190983ae439bd0ac0cc |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb945bd3881908e6c3f5f91b5f38e |
completed | March 20, 2026, 9:16 p.m. |
Created at: March 20, 2026, 1:05 p.m.