Triple

T779990
Position Surface form Disambiguated ID Type / Status
Subject University of Missouri–Kansas City E16473 entity
Predicate athleticsNickname P55 FINISHED
Object Roos
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
 E93402 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: Roos | Statement: [University of Missouri–Kansas City, athleticsNickname, Roos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roos
Context triple: [University of Missouri–Kansas City, athleticsNickname, Roos]
  • A. Veluws
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • B. Heumen
    Heumen is a small municipality in the province of Gelderland in the eastern Netherlands, located just south of the city of Nijmegen.
  • C. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • D. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • E. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • 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: Roos
Triple: [University of Missouri–Kansas City, athleticsNickname, Roos]
Generated description
The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roos
Target entity description: The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
  • A. Veluws
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • B. Heumen
    Heumen is a small municipality in the province of Gelderland in the eastern Netherlands, located just south of the city of Nijmegen.
  • C. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • D. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • E. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787ccafc8190a8d31089f906404b completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678e7922881909fb8044658ce7865 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a6794a539081908964bbcb2ad04391 completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:37 p.m.