Triple

T8283371
Position Surface form Disambiguated ID Type / Status
Subject Fortuna Düsseldorf E193732 entity
Predicate nickname P55 FINISHED
Object 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.
 E723404 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: F95 | Statement: [Fortuna Düsseldorf, nickname, F95]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F95
Context triple: [Fortuna Düsseldorf, nickname, F95]
  • A. FH9
    FH9 is a proprietary vector graphics file format associated with Macromedia FreeHand version 9, used for storing illustrations and design layouts.
  • B. K95
    K95 is a ski jumping hill size classification indicating a normal hill with a K-point of 95 meters, commonly used in competitive ski jumping events.
  • C. C595
    C595 is the designation for an ASTM standard specification covering blended hydraulic cements used in construction.
  • D. FR-90
    FR-90 is the ISO 3166-2 subdivision code assigned to the Territoire de Belfort department in northeastern France.
  • 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: F95
Triple: [Fortuna Düsseldorf, nickname, F95]
Generated description
F95 is a common nickname for Fortuna Düsseldorf, a German football club based in Düsseldorf that competes in the country’s professional league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F95
Target entity description: F95 is a common nickname for Fortuna Düsseldorf, a German football club based in Düsseldorf that competes in the country’s professional league system.
  • A. FH9
    FH9 is a proprietary vector graphics file format associated with Macromedia FreeHand version 9, used for storing illustrations and design layouts.
  • B. K95
    K95 is a ski jumping hill size classification indicating a normal hill with a K-point of 95 meters, commonly used in competitive ski jumping events.
  • C. C595
    C595 is the designation for an ASTM standard specification covering blended hydraulic cements used in construction.
  • D. FR-90
    FR-90 is the ISO 3166-2 subdivision code assigned to the Territoire de Belfort department in northeastern France.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7aceec8881909cdfa488dfedc0f5 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6877b8e481908ec1e0b91a5276f6 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d5441248190a9e32281dc8e8d62 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e20f71c8190959319c6683a2810 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:52 p.m.