Triple

T24511
Position Surface form Disambiguated ID Type / Status
Subject Kansas City, Missouri E488 entity
Predicate hasNickname P39 FINISHED
Object KC
KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
E3091 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: KC | Statement: [Kansas City, Missouri, hasNickname, KC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KC
Context triple: [Kansas City, Missouri, hasNickname, KC]
  • A. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. CCC
    The CCC, or Civilian Conservation Corps, was a New Deal work relief program in the United States during the 1930s and early 1940s that employed young men in conservation and public works projects such as reforestation, park development, and soil erosion control.
  • D. KDCA
    KDCA is the ICAO airport code for Ronald Reagan Washington National Airport, a major commercial airport serving the Washington, D.C. metropolitan area.
  • E. King
    King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
  • 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: KC
Triple: [Kansas City, Missouri, hasNickname, KC]
Generated description
KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KC
Target entity description: KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • A. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. CCC
    The CCC, or Civilian Conservation Corps, was a New Deal work relief program in the United States during the 1930s and early 1940s that employed young men in conservation and public works projects such as reforestation, park development, and soil erosion control.
  • D. KDCA
    KDCA is the ICAO airport code for Ronald Reagan Washington National Airport, a major commercial airport serving the Washington, D.C. metropolitan area.
  • E. King
    King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466d166881908bd8513c8d09fe8d completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e59b35c8190a192ed9095a8756d completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24edf06688190963f6812d173d56e completed Feb. 28, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69a24fec71908190813a1e322bbbdbb6 completed Feb. 28, 2026, 2:16 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.