Triple

T3234058
Position Surface form Disambiguated ID Type / Status
Subject TF1 Group E67807 entity
Predicate tickerSymbol P1447 FINISHED
Object TFI
TFI is the stock ticker symbol for the French media conglomerate TF1 Group, which operates television channels and related media services.
 E339508 NE FINISHED

How this triple was built (4 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: TFI | Statement: [TF1 Group, tickerSymbol, TFI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TFI
Context triple: [TF1 Group, tickerSymbol, TFI]
  • A. TFI
    TFI is the commonly used abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • B. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • C. EFTI
    EFTI is a Swedish film production company known for its involvement in acclaimed Scandinavian cinema, including the horror drama "Let the Right One In."
  • D. TFN
    TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
  • E. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TFI
Triple: [TF1 Group, tickerSymbol, TFI]
Generated description
TFI is the stock ticker symbol for the French media conglomerate TF1 Group, which operates television channels and related media services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TFI
Target entity description: TFI is the stock ticker symbol for the French media conglomerate TF1 Group, which operates television channels and related media services.
  • A. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • B. TFI
    TFI is the commonly used abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • C. EFTI
    EFTI is a Swedish film production company known for its involvement in acclaimed Scandinavian cinema, including the horror drama "Let the Right One In."
  • D. TFN
    TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
  • E. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • F. None of above. chosen

Provenance (5 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedcd9588190b3623f0109d653a4 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b277404f6c8190803cf67cc8423430 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27844c6708190ac61f00a74a2ef27 completed March 12, 2026, 8:24 a.m.
NED2 Entity disambiguation (via description) batch_69b27911ff1481908a36f279a871c510 completed March 12, 2026, 8:28 a.m.
Created at: March 8, 2026, 3:08 p.m.