Triple

T22551884
Position Surface form Disambiguated ID Type / Status
Subject Facultad de Información y Comunicación E557577 entity
Predicate shortName P43 FINISHED
Object FIC
FIC is a university faculty in Uruguay specializing in information, communication, and related academic and professional fields.
 E1542586 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: FIC | Statement: [Facultad de Información y Comunicación, shortName, FIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIC
Context triple: [Facultad de Información y Comunicación, shortName, FIC]
  • A. FIC
    FIC is the acronym for the Fogarty International Center, a division of the U.S. National Institutes of Health that supports global health research and training.
  • B. Ficsur
    Ficsur is a supporting character in Ferenc Molnár’s play "Liliom," typically depicted as a small-time criminal and associate of the title character.
  • C. FICE
    FICE is the post-nominal designation used to indicate a Fellow of the Institution of Civil Engineers, recognizing senior professional standing and contribution to the civil engineering profession.
  • D. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • E. Fant
    Fant is a Swedish surname most notably associated with Gunnar Fant, a pioneering researcher in speech science and acoustic phonetics.
  • 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: FIC
Triple: [Facultad de Información y Comunicación, shortName, FIC]
Generated description
FIC is a university faculty in Uruguay specializing in information, communication, and related academic and professional fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIC
Target entity description: FIC is a university faculty in Uruguay specializing in information, communication, and related academic and professional fields.
  • A. FIC
    FIC is the acronym for the Fogarty International Center, a division of the U.S. National Institutes of Health that supports global health research and training.
  • B. Ficsur
    Ficsur is a supporting character in Ferenc Molnár’s play "Liliom," typically depicted as a small-time criminal and associate of the title character.
  • C. FICE
    FICE is the post-nominal designation used to indicate a Fellow of the Institution of Civil Engineers, recognizing senior professional standing and contribution to the civil engineering profession.
  • D. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • E. Fant
    Fant is a Swedish surname most notably associated with Gunnar Fant, a pioneering researcher in speech science and acoustic phonetics.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7647208190a1aaebd083bf095a completed April 29, 2026, 1:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b2d6309d481909185ea6ebaf80d64 completed May 18, 2026, 3:16 p.m.
NEDg Description generation batch_6a0b364718308190937c3b7ae90ea9df completed May 18, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b37998f888190bb53c2429760321a completed May 18, 2026, 4 p.m.
Created at: April 16, 2026, 8:52 p.m.