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.