Triple

T18758187
Position Surface form Disambiguated ID Type / Status
Subject Universidad Francisco Marroquín E458702 entity
Predicate shortName P43 FINISHED
Object UFM NE NERFINISHED

How this triple was built (2 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 chosen
    UFM is a private Guatemalan university known for its strong emphasis on classical liberalism, free-market economics, and individual liberty.
  • B. 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.
  • C. UFU
    UFU is the Italian-language abbreviation for Switzerland’s Federal Office for Gender Equality, the national authority responsible for promoting equal rights and opportunities for all genders.
  • D. UCFM
    UCFM is the ICAO airport code for Manas International Airport, the main international airport serving Bishkek, Kyrgyzstan.
  • E. MUF
    MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f42d0881909bd9ca9c7916516a completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:52 a.m.