Triple

T9751722
Position Surface form Disambiguated ID Type / Status
Subject Tatort E236457 entity
Predicate originalNetwork P2594 FINISHED
Object SRF E452047 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: SRF | Statement: [Tatort, originalNetwork, SRF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SRF
Context triple: [Tatort, originalNetwork, SRF]
  • A. SRF chosen
    SRF is the German-language division of the Swiss Broadcasting Corporation, responsible for producing and broadcasting radio, television, and online content in German-speaking Switzerland.
  • B. SRF
    SRF is a French filmmakers' association best known for organizing the Directors' Fortnight sidebar at the Cannes Film Festival and advocating for directors' artistic and professional interests.
  • C. SRFC
    SRFC is the commonly used abbreviation for Sacramento Republic FC, a professional soccer club based in Sacramento, California.
  • D. SFR
    SFR is a major French telecommunications company providing mobile, internet, and television services.
  • E. SBRF
    SBRF is the ICAO airport code for Recife/Guararapes–Gilberto Freyre International Airport, a major air transport hub in northeastern Brazil.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b020829481908456e7977c5f9adb completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.