Triple

T4343456
Position Surface form Disambiguated ID Type / Status
Subject Deportivo Walter Ferretti E97841 entity
Predicate subConfederation P14830 FINISHED
Object UNCAF E179825 NE FINISHED

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: UNCAF | Statement: [Deportivo Walter Ferretti, subConfederation, UNCAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNCAF
Context triple: [Deportivo Walter Ferretti, subConfederation, UNCAF]
  • A. UNCAF chosen
    UNCAF is the Central American Football Union, the regional governing body for association football in Central America under CONCACAF.
  • B. UNDAF
    UNDAF is the strategic planning framework that guides how United Nations agencies coordinate their development assistance in a given country.
  • C. UNICT
    UNICT is the commonly used acronym for the University of Catania, a major public university located in Catania, Sicily, Italy.
  • D. UCA
    UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
  • E. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35188e71c8190a3e82fa8d959de94 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4fa3c388190a5e3ceb733e278f8 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:14 p.m.