Triple

T13541788
Position Surface form Disambiguated ID Type / Status
Subject United Service Organizations E323405 entity
Predicate shortName P43 FINISHED
Object USO E985854 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: USO | Statement: [United Service Organizations, shortName, USO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USO
Context triple: [United Service Organizations, shortName, USO]
  • A. USO
    USO is the commonly used abbreviation for US Orléans, a French professional football club based in Orléans.
  • B. USO chosen
    The USO (United Service Organizations) is an American nonprofit that provides entertainment, support, and morale-boosting services to U.S. military personnel and their families worldwide.
  • 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. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • E. USARJ
    USARJ is the command responsible for overseeing United States Army operations and support activities in Japan.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.