Triple

T17289471
Position Surface form Disambiguated ID Type / Status
Subject USA Perpignan E419745 entity
Predicate nickname P55 FINISHED
Object USAP E395513 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: USAP | Statement: [USA Perpignan, nickname, USAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USAP
Context triple: [USA Perpignan, nickname, USAP]
  • A. USAP chosen
    USAP is a professional rugby union club based in Perpignan, France, known for its rich history and passionate Catalan identity.
  • B. USAP
    USAP is the acronym for the United States Antarctic Program, the U.S. government initiative that supports and manages scientific research and logistics in Antarctica.
  • C. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • D. USAT
    USAT is the commonly used abbreviation for USA Triathlon, the national governing body for triathlon and related multisport disciplines in the United States.
  • E. USASA
    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.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43782b7ac8190b702567e9ccf9a35 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d49ff08190bd73245adfb86760 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.