Triple

T15839860
Position Surface form Disambiguated ID Type / Status
Subject FTOOLS E384072 entity
Predicate programmingLanguage P1592 FINISHED
Object F90
F90 is a version of the Fortran programming language, commonly known as Fortran 90, which introduced modern features such as modules, array operations, and free-form source code.
 E1179707 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: F90 | Statement: [FTOOLS, programmingLanguage, F90]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F90
Context triple: [FTOOLS, programmingLanguage, F90]
  • A. F91
    F91 is a professional football club from Dudelange, Luxembourg, known for its domestic success and appearances in European competitions.
  • B. F95
    F95 is a common nickname for Fortuna Düsseldorf, a German football club based in Düsseldorf that competes in the country’s professional league system.
  • C. F70
    F70 is the ICAO type designator for the Fokker 70, a twin-engine regional jet airliner developed by the Dutch manufacturer Fokker.
  • D. F9
    F9 is the ninth main installment in the Fast & Furious film franchise, continuing the high-octane action saga of Dominic Toretto and his crew.
  • E. F9
    F9 is the IATA airline code for Frontier Airlines, a U.S.-based ultra-low-cost carrier.
  • 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: F90
Triple: [FTOOLS, programmingLanguage, F90]
Generated description
F90 is a version of the Fortran programming language, commonly known as Fortran 90, which introduced modern features such as modules, array operations, and free-form source code.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F90
Target entity description: F90 is a version of the Fortran programming language, commonly known as Fortran 90, which introduced modern features such as modules, array operations, and free-form source code.
  • A. F91
    F91 is a professional football club from Dudelange, Luxembourg, known for its domestic success and appearances in European competitions.
  • B. F95
    F95 is a common nickname for Fortuna Düsseldorf, a German football club based in Düsseldorf that competes in the country’s professional league system.
  • C. F70
    F70 is the ICAO type designator for the Fokker 70, a twin-engine regional jet airliner developed by the Dutch manufacturer Fokker.
  • D. F9
    F9 is the ninth main installment in the Fast & Furious film franchise, continuing the high-octane action saga of Dominic Toretto and his crew.
  • E. F9
    F9 is the IATA airline code for Frontier Airlines, a U.S.-based ultra-low-cost carrier.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:49 a.m.