Triple

T15962836
Position Surface form Disambiguated ID Type / Status
Subject Tunisian Football Federation E387104 entity
Predicate shortName P43 FINISHED
Object FTF
FTF is the commonly used abbreviation for the Tunisian Football Federation, the governing body of football in Tunisia.
 E1187060 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: FTF | Statement: [Tunisian Football Federation, shortName, FTF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FTF
Context triple: [Tunisian Football Federation, shortName, FTF]
  • A. FTW
    FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
  • B. FTW
    FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
  • C. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • D. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • E. TTFA
    TTFA is the governing body responsible for overseeing and developing football in Trinidad and Tobago, including its national teams and domestic competitions.
  • 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: FTF
Triple: [Tunisian Football Federation, shortName, FTF]
Generated description
FTF is the commonly used abbreviation for the Tunisian Football Federation, the governing body of football in Tunisia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FTF
Target entity description: FTF is the commonly used abbreviation for the Tunisian Football Federation, the governing body of football in Tunisia.
  • A. FTW
    FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
  • B. FTW
    FTW is the National Rail station code for Fort William railway station in the Scottish Highlands.
  • C. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • D. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • E. TTFA
    TTFA is the governing body responsible for overseeing and developing football in Trinidad and Tobago, including its national teams and domestic competitions.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157013cfc819099fa83de85273710 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbffcbd748190a666eca28cf44ad5 completed May 9, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69ffc09df25481908674f306b0f96f95 completed May 9, 2026, 11:17 p.m.
Created at: April 10, 2026, 4:53 a.m.