Triple
T23251373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rai Movie |
E581738
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | RAI television channels |
—
|
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: RAI television channels | Statement: [Rai Movie, partOf, RAI television channels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAI television channels Context triple: [Rai Movie, partOf, RAI television channels]
-
A.
RAI
RAI is the station code for Station RAI, a railway stop identified by this three-letter abbreviation.
-
B.
RAI
RAI is the national state-owned railway company responsible for operating and managing Iran’s rail transport network.
-
C.
RAI
RAI is the IATA airport code for Nelson Mandela International Airport, the main airport serving Praia in Cape Verde.
-
D.
RAI
RAI is a leading British scholarly society dedicated to the study and promotion of anthropology and related disciplines.
-
E.
RAI
chosen
RAI is Italy’s national public broadcasting company, operating multiple television and radio channels and producing a wide range of news, entertainment, and cultural programming.
- 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_69f193f7249481909424867e9542d35e |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.