Triple

T1353466
Position Surface form Disambiguated ID Type / Status
Subject University of Central Missouri E28934 entity
Predicate abbreviation P43 FINISHED
Object UCM
UCM is a public university in Warrensburg, Missouri, known for its diverse undergraduate and graduate programs and strong emphasis on applied learning.
 E155163 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: UCM | Statement: [University of Central Missouri, abbreviation, UCM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UCM
Context triple: [University of Central Missouri, abbreviation, UCM]
  • A. UCM
    UCM is the commonly used abbreviation for the Complutense University of Madrid, one of Spain’s largest and most prestigious public universities.
  • B. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • C. Circling
    "Circling" is a song featured on the album *Higher Truth* by Chris Cornell.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • 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: UCM
Triple: [University of Central Missouri, abbreviation, UCM]
Generated description
UCM is a public university in Warrensburg, Missouri, known for its diverse undergraduate and graduate programs and strong emphasis on applied learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UCM
Target entity description: UCM is a public university in Warrensburg, Missouri, known for its diverse undergraduate and graduate programs and strong emphasis on applied learning.
  • A. UCM
    UCM is the commonly used abbreviation for the Complutense University of Madrid, one of Spain’s largest and most prestigious public universities.
  • B. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • C. Circling
    "Circling" is a song featured on the album *Higher Truth* by Chris Cornell.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26e916c8190b4b324df87f4c121 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6a1dd48190b17ac5a7cf3ab933 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acceac84748190bbf9dd9c9ba5561f completed March 8, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_69accf1778b081908936977cd9317774 completed March 8, 2026, 1:21 a.m.
Created at: March 1, 2026, 7:56 p.m.