Triple

T13346347
Position Surface form Disambiguated ID Type / Status
Subject Kirk Schulz E317959 entity
Predicate educatedAt P5 FINISHED
Object Virginia Tech E102303 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: Virginia Tech | Statement: [Kirk Schulz, educatedAt, Virginia Tech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Tech
Context triple: [Kirk Schulz, educatedAt, Virginia Tech]
  • A. Virginia Tech chosen
    Virginia Tech is a major public research university in Blacksburg, Virginia, known for its strong engineering programs, large campus community, and prominent athletics.
  • B. Virginia Commonwealth University
    Virginia Commonwealth University is a large public research university known for its diverse academic programs and strong arts and health sciences disciplines.
  • C. Virginia State University
    Virginia State University is a public historically Black land-grant university located in Petersburg, Virginia.
  • D. Old Dominion University
    Old Dominion University is a public research university known for its diverse academic programs and coastal campus in Norfolk, Virginia.
  • E. North Carolina State University
    North Carolina State University is a major public research university in Raleigh, North Carolina, known for its strong engineering, agriculture, and STEM programs and as a key member of the Research Triangle.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83125d481908fe02cf85651a7bb completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:31 p.m.