Triple

T13358553
Position Surface form Disambiguated ID Type / Status
Subject F-5 E318759 entity
Predicate hasAlternativeName P39 FINISHED
Object F5
F5 is a leading American technology company best known for its application delivery networking and security solutions that optimize and protect applications across cloud and on-premises environments.
E1037645 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: F5 | Statement: [F-5, hasAlternativeName, F5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F5
Context triple: [F-5, hasAlternativeName, F5]
  • A. F51
    F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
  • B. F5 algorithm
    The F5 algorithm is an efficient method in computational algebra for computing Gröbner bases by using signature-based criteria to avoid redundant polynomial reductions.
  • C. 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.
  • D. Arris
    Arris is a telecommunications equipment and technology company best known for producing broadband, video, and networking solutions such as cable modems and set-top boxes.
  • E. F8
    F8 is the IATA airline designator assigned to Flair Airlines, a Canadian 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: F5
Triple: [F-5, hasAlternativeName, F5]
Generated description
F5 is a leading American technology company best known for its application delivery networking and security solutions that optimize and protect applications across cloud and on-premises environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: F5
Target entity description: F5 is a leading American technology company best known for its application delivery networking and security solutions that optimize and protect applications across cloud and on-premises environments.
  • A. F51
    F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
  • B. F5 algorithm
    The F5 algorithm is an efficient method in computational algebra for computing Gröbner bases by using signature-based criteria to avoid redundant polynomial reductions.
  • C. 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.
  • D. Arris
    Arris is a telecommunications equipment and technology company best known for producing broadband, video, and networking solutions such as cable modems and set-top boxes.
  • E. F8
    F8 is the IATA airline designator assigned to Flair Airlines, a Canadian 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da62887e588190bd7241c720a112a2 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72677b2a48190aad30f3ee6cacefb completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:32 p.m.