Triple

T3873812
Position Surface form Disambiguated ID Type / Status
Subject USAP Perpignan E92448 entity
Predicate shortName P43 FINISHED
Object USAP
USAP is a professional rugby union club based in Perpignan, France, known for its rich history and passionate Catalan identity.
 E395513 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: USAP | Statement: [USAP Perpignan, shortName, USAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: USAP
Context triple: [USAP Perpignan, shortName, USAP]
  • A. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • B. USAIS
    USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
  • C. USAR
    USAR is the commonly used abbreviation for the United States Army Reserve, the federal reserve force of the U.S. Army composed of part-time soldiers who support active-duty operations.
  • D. ECUSA
    ECUSA is a common abbreviation for the Episcopal Church in the United States of America, a mainline Anglican Christian denomination based in the U.S.
  • E. USASOC
    USASOC is the U.S. Army’s major command responsible for overseeing and coordinating all Army special operations forces, including units like the Green Berets, Rangers, and special operations aviation.
  • 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: USAP
Triple: [USAP Perpignan, shortName, USAP]
Generated description
USAP is a professional rugby union club based in Perpignan, France, known for its rich history and passionate Catalan identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: USAP
Target entity description: USAP is a professional rugby union club based in Perpignan, France, known for its rich history and passionate Catalan identity.
  • A. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • B. USAIS
    USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
  • C. USAR
    USAR is the commonly used abbreviation for the United States Army Reserve, the federal reserve force of the U.S. Army composed of part-time soldiers who support active-duty operations.
  • D. ECUSA
    ECUSA is a common abbreviation for the Episcopal Church in the United States of America, a mainline Anglican Christian denomination based in the U.S.
  • E. USASOC
    USASOC is the U.S. Army’s major command responsible for overseeing and coordinating all Army special operations forces, including units like the Green Berets, Rangers, and special operations aviation.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec581adc81909219e6f025fc97c2 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5124cdf588190b3b83ee8fb29450a completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b5132715888190bc5ba6182965e813 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b513b11dcc8190a2c2e3f27b4cf25e completed March 14, 2026, 7:52 a.m.
Created at: March 9, 2026, 3:20 p.m.