Triple

T1425753
Position Surface form Disambiguated ID Type / Status
Subject University of Washington E30327 entity
Predicate nickname P55 FINISHED
Object UW E30327 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: UW | Statement: [University of Washington, nickname, UW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UW
Context triple: [University of Washington, nickname, UW]
  • A. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • B. UAA
    UAA is the stock ticker symbol for Under Armour, an American sportswear and athletic apparel company traded on the New York Stock Exchange.
  • C. University of Washington chosen
    The University of Washington is a major public research university in Seattle known for its strong programs in science, engineering, medicine, and public affairs.
  • D. Seattle University
    Seattle University is a private Jesuit Catholic university located in Seattle, Washington, known for its liberal arts, professional programs, and urban campus.
  • E. University of Wisconsin–Madison
    The University of Wisconsin–Madison is a major public research university in Madison, Wisconsin, renowned for its strong academic programs, extensive research output, and flagship status within the University of Wisconsin System.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bd59148190b96f9f585e07aa0d completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad01646fd481909fcd92a1cc027fa2 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.