Triple

T20333095
Position Surface form Disambiguated ID Type / Status
Subject RT UK E492532 entity
Predicate network P2637 FINISHED
Object RT 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 | Statement: [RT UK, network, RT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RT
Context triple: [RT UK, network, RT]
  • A. 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.
  • B. RT
    RT is the commonly used abbreviation for Rotten Tomatoes, a popular website that aggregates film and television reviews and ratings.
  • C. RT
    RT is the regional vehicle registration code assigned to the city of Tarnobrzeg in Poland.
  • D. RD
    RD is the vehicle registration code used on license plates for the district of Rendsburg-Eckernförde in the German state of Schleswig-Holstein.
  • E. RD
    RD is the commonly used abbreviation for Revolución Democrática, a Chilean left-wing political party.
  • 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.