Triple

T8004411
Position Surface form Disambiguated ID Type / Status
Subject FC Kansas City E186328 entity
Predicate shortName P43 FINISHED
Object 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.
E704327 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: FCKC | Statement: [FC Kansas City, shortName, FCKC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FCKC
Context triple: [FC Kansas City, shortName, FCKC]
  • A. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • B. KCKCC
    KCKCC is a public community college located in Kansas City, Kansas, offering two-year degree and certificate programs.
  • C. KCKB
    KCKB is the ICAO airport code for North Central West Virginia Airport, a public airport serving the Clarksburg–Bridgeport area in West Virginia, United States.
  • D. FKK
    FKK is the National Rail station code assigned to Falkirk High railway station in Scotland.
  • E. FCU
    FCU is the commonly used abbreviation for FC Ulaanbaatar, a professional football club based in Mongolia’s capital city.
  • 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: FCKC
Triple: [FC Kansas City, shortName, FCKC]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FCKC
Target entity description: 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.
  • A. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • B. KCKCC
    KCKCC is a public community college located in Kansas City, Kansas, offering two-year degree and certificate programs.
  • C. KCKB
    KCKB is the ICAO airport code for North Central West Virginia Airport, a public airport serving the Clarksburg–Bridgeport area in West Virginia, United States.
  • D. FKK
    FKK is the National Rail station code assigned to Falkirk High railway station in Scotland.
  • E. FCU
    FCU is the commonly used abbreviation for FC Ulaanbaatar, a professional football club based in Mongolia’s capital city.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf5fb588190ada4ec7d8087619c completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe127afe0819092d5ad0c430fadc4 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.