Triple

T14106206
Position Surface form Disambiguated ID Type / Status
Subject TF1 E339510 entity
Predicate streamingService P3189 FINISHED
Object TF1+ (formerly MYTF1) E339506 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: TF1+ (formerly MYTF1) | Statement: [TF1, streamingService, TF1+ (formerly MYTF1)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TF1+ (formerly MYTF1)
Context triple: [TF1, streamingService, TF1+ (formerly MYTF1)]
  • A. MYTF1 chosen
    MYTF1 is a French online streaming and catch-up TV platform offering TF1 Group’s channels and on-demand content.
  • B. MYEF
    MYEF is the ICAO airport code for Exuma International Airport in the Bahamas.
  • C. MYB
    MYB is the National Rail station code for London Marylebone railway station, a central London terminus for Chiltern Railways services.
  • D. TFB
    TFB is the acronym commonly used to refer to the Task Force Bureau, an organized body typically responsible for coordinating specialized operations or initiatives.
  • E. MIF
    MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.