Triple
T20333148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RT Arabic |
E492533
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | RT English |
—
|
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: RT English | Statement: [RT Arabic, sisterChannel, RT English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RT English Context triple: [RT Arabic, sisterChannel, RT English]
-
A.
RT
RT is the commonly used abbreviation for Rotten Tomatoes, a popular website that aggregates film and television reviews and ratings.
-
B.
RT
chosen
RT is a Russian state-funded international television network and online media outlet known for its global news coverage and often controversial, Kremlin-aligned perspectives on major events.
-
C.
RT
RT is the regional vehicle registration code assigned to the city of Tarnobrzeg in Poland.
-
D.
RT en Español
RT en Español is the Spanish-language international news channel of the Russian state-funded network RT, offering news and commentary tailored to Spanish-speaking audiences worldwide.
-
E.
ENG
ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e94e2481908898e0a3513e1209 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.