Triple

T4633748
Position Surface form Disambiguated ID Type / Status
Subject Universidad Francisco Marroquín E101478 entity
Predicate shortName P43 FINISHED
Object UFM
UFM is a private Guatemalan university known for its strong emphasis on classical liberalism, free-market economics, and individual liberty.
 E458702 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: UFM | Statement: [Universidad Francisco Marroquín, shortName, UFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UFM
Context triple: [Universidad Francisco Marroquín, shortName, UFM]
  • A. UfM
    UfM is the acronym for the Union for the Mediterranean, an intergovernmental organization that promotes cooperation and dialogue among countries in Europe and the Mediterranean region.
  • B. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • C. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • D. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • E. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • 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: UFM
Triple: [Universidad Francisco Marroquín, shortName, UFM]
Generated description
UFM is a private Guatemalan university known for its strong emphasis on classical liberalism, free-market economics, and individual liberty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UFM
Target entity description: UFM is a private Guatemalan university known for its strong emphasis on classical liberalism, free-market economics, and individual liberty.
  • A. UfM
    UfM is the acronym for the Union for the Mediterranean, an intergovernmental organization that promotes cooperation and dialogue among countries in Europe and the Mediterranean region.
  • B. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • C. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • D. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • E. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5d0de881909baacc5b991f5b53 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfac317248190a8886d59d2242acb completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfceda19c8190909c21594ea792a0 completed March 21, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69bdfd7790748190b322d7f8109fa887 completed March 21, 2026, 2:07 a.m.
Created at: March 20, 2026, 1:13 p.m.