Triple

T20870367
Position Surface form Disambiguated ID Type / Status
Subject Don Matteo E513872 entity
Predicate originalNetwork P2594 FINISHED
Object Rai 1 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 1 | Statement: [Don Matteo, originalNetwork, Rai 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rai 1
Context triple: [Don Matteo, originalNetwork, Rai 1]
  • 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 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.
  • D. RAI
    RAI is the stock ticker symbol for Reynolds American Inc., a major U.S. tobacco company known for brands like Camel and Newport.
  • E. RAI
    RAI is the IATA airport code for Nelson Mandela International Airport, the main airport serving Praia in Cape Verde.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4637ec48190830023d20fb8124c completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.