Triple
T6453233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodge City Community College |
E139924
|
entity |
| Predicate | athleticsNickname |
P55
|
FINISHED |
| Object |
Conqs
Conqs is the athletic nickname and mascot identity used by Dodge City Community College’s sports teams.
|
E594558
|
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: Conqs | Statement: [Dodge City Community College, athleticsNickname, Conqs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conqs Context triple: [Dodge City Community College, athleticsNickname, Conqs]
-
A.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
-
B.
Q’s (Conquistadors)
Q’s (Conquistadors) was the commonly used nickname for the San Diego Conquistadors, a former American Basketball Association (ABA) team based in San Diego.
-
C.
QUEN
QUEN is the station code for Queen station, a public transit stop identified by this unique abbreviation.
-
D.
CONSOB
CONSOB is Italy’s national securities and financial markets regulator, overseeing the transparency and proper functioning of the country’s stock exchanges and investment services.
-
E.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
- 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: Conqs Triple: [Dodge City Community College, athleticsNickname, Conqs]
Generated description
Conqs is the athletic nickname and mascot identity used by Dodge City Community College’s sports teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conqs Target entity description: Conqs is the athletic nickname and mascot identity used by Dodge City Community College’s sports teams.
-
A.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
-
B.
Q’s (Conquistadors)
Q’s (Conquistadors) was the commonly used nickname for the San Diego Conquistadors, a former American Basketball Association (ABA) team based in San Diego.
-
C.
QUEN
QUEN is the station code for Queen station, a public transit stop identified by this unique abbreviation.
-
D.
CONSOB
CONSOB is Italy’s national securities and financial markets regulator, overseeing the transparency and proper functioning of the country’s stock exchanges and investment services.
-
E.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d1c7c481909df9d2369edf5e74 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd982208190bbf5f00a85f7098d |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64d8fe71881908417dc1d3f242bd5 |
completed | March 27, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64e5cd1b88190abcdc8af02991d1d |
completed | March 27, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:47 p.m.