Triple

T13539090
Position Surface form Disambiguated ID Type / Status
Subject Wilbur Wright E323335 entity
Predicate countryOfCitizenship P2 FINISHED
Object USA E585449 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: USA | Statement: [Wilbur Wright, countryOfCitizenship, USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USA
Context triple: [Wilbur Wright, countryOfCitizenship, USA]
  • A. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • B. USA chosen
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • C. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • D. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • E. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • 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_69dbafd7ad9481908fe1d7ffcf8fab71 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c49e9c819088e6e98aa53d05fa completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:45 p.m.