Triple

T4561424
Position Surface form Disambiguated ID Type / Status
Subject United States Railroad Administration E121798 entity
Predicate alsoKnownAs P39 FINISHED
Object USRA E121798 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 Railroad Administration, alsoKnownAs, USRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USRA
Context triple: [United States Railroad Administration, alsoKnownAs, USRA]
  • A. USRA chosen
    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)
    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. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • D. SU
    SU is the IATA airline designator for Aeroflot, Russia’s flag carrier and largest airline.
  • E. SU
    SU is the station code used to identify Summerhill railway station.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd582d98fc8190a760dbb5f20c775d completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3aa3b9081908984777207f4040e completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.