Triple

T7068430
Position Surface form Disambiguated ID Type / Status
Subject U-Dub E164621 entity
Predicate alsoKnownAs P39 FINISHED
Object U Dub E164621 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: U Dub | Statement: [U-Dub, alsoKnownAs, U Dub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U Dub
Context triple: [U-Dub, alsoKnownAs, U Dub]
  • A. U-Dub chosen
    U-Dub is a common nickname for the University of Washington, a major public research university in Seattle known for its strong academic and athletic programs.
  • B. DUB
    DUB is the three-letter IATA airport code for Dublin Airport, the main international gateway to Dublin and the Republic of Ireland.
  • C. Didube
    Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
  • D. Doud
    Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
  • E. Dud
    Dud is a common short form or nickname for the given name Dudley.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a935488190a8c9c21bf30dd5d4 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944fe5ec819098ff44e2872fc644 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:39 p.m.