Triple

T9345835
Position Surface form Disambiguated ID Type / Status
Subject 1. FC Kaiserslautern E224886 entity
Predicate abbreviation P43 FINISHED
Object FCK
FCK is the common abbreviation for 1. FC Kaiserslautern, a historic German football club known for its passionate fan base and multiple Bundesliga titles.
E793010 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: FCK | Statement: [1. FC Kaiserslautern, abbreviation, FCK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FCK
Context triple: [1. FC Kaiserslautern, abbreviation, FCK]
  • A. FCKC
    FCKC is the commonly used abbreviation for FC Kansas City, a former professional women's soccer club that competed in the National Women's Soccer League in the United States.
  • B. FCT
    FCT is the common abbreviation for FC Tulsa, a professional soccer club based in Tulsa, Oklahoma.
  • C. SFKC
    SFKC is the commonly used abbreviation for Suffolk Coastal, a former local government district in Suffolk, England.
  • D. FCHK
    FCHK is the commonly used abbreviation for FC Hradec Králové, a professional football club based in Hradec Králové, Czech Republic.
  • E. FCD
    FCD is the commonly used abbreviation for FC Dordrecht, a professional football club based in Dordrecht, Netherlands.
  • 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: FCK
Triple: [1. FC Kaiserslautern, abbreviation, FCK]
Generated description
FCK is the common abbreviation for 1. FC Kaiserslautern, a historic German football club known for its passionate fan base and multiple Bundesliga titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FCK
Target entity description: FCK is the common abbreviation for 1. FC Kaiserslautern, a historic German football club known for its passionate fan base and multiple Bundesliga titles.
  • A. FCKC
    FCKC is the commonly used abbreviation for FC Kansas City, a former professional women's soccer club that competed in the National Women's Soccer League in the United States.
  • B. FCT
    FCT is the common abbreviation for FC Tulsa, a professional soccer club based in Tulsa, Oklahoma.
  • C. SFKC
    SFKC is the commonly used abbreviation for Suffolk Coastal, a former local government district in Suffolk, England.
  • D. FCHK
    FCHK is the commonly used abbreviation for FC Hradec Králové, a professional football club based in Hradec Králové, Czech Republic.
  • E. FCD
    FCD is the commonly used abbreviation for FC Dordrecht, a professional football club based in Dordrecht, Netherlands.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0e2ccc8190a68f1c96c0886660 completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e41ccdcc8190b2939716984b2c7b completed April 4, 2026, 10:12 a.m.
NEDg Description generation batch_69d0e5752a38819089b23ac52f0a6a39 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e64cb4dc81908cef7d729d9cfb4d completed April 4, 2026, 10:22 a.m.
Created at: March 30, 2026, 7:41 p.m.