Triple

T5702118
Position Surface form Disambiguated ID Type / Status
Subject United States Railway Association E125688 entity
Predicate shortName P43 FINISHED
Object USRA E16297 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: USRA | Statement: [United States Railway Association, shortName, USRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USRA
Context triple: [United States Railway Association, shortName, USRA]
  • A. USRA
    USRA is the commonly used acronym for the United States Railroad Administration, the U.S. government agency that temporarily nationalized and operated railroads during World War I.
  • B. Universities Space Research Association (USRA) chosen
    The Universities Space Research Association (USRA) is a nonprofit research organization that advances space- and aeronautics-related science and technology through collaborations with universities and government agencies, including NASA.
  • C. ASUA
    The ASUA is a U.S. Army unit-level decoration recognizing outstanding meritorious performance by military units.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0245581988190a819b8137533ed31 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5fe4fc8190944a63a29da0fe3c completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.