Triple

T22584939
Position Surface form Disambiguated ID Type / Status
Subject USASA E564763 entity
Predicate abbreviation P43 FINISHED
Object USASA 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: USASA | Statement: [USASA, abbreviation, USASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USASA
Context triple: [USASA, abbreviation, USASA]
  • A. USASA chosen
    The USASA (United States Adult Soccer Association) is the national governing body for adult amateur soccer in the United States, organizing regional and national competitions and serving as a key pathway into tournaments like the U.S. Open Cup.
  • B. USAC
    USAC is the Universidad de San Carlos de Guatemala, the main public and oldest university in Guatemala and one of the oldest in the Americas.
  • C. USAC
    USAC (the Universal Service Administrative Company) is a nonprofit organization that administers the U.S. Universal Service Fund programs that support affordable telecommunications and broadband access.
  • D. USAC
    USAC is the commonly used abbreviation for USA Cycling, the national governing body for bicycle racing in the United States.
  • E. USAP
    USAP is a professional rugby union club based in Perpignan, France, known for its rich history and passionate Catalan identity.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615c18f88190ad4f23639d15f337 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:45 p.m.