Triple

T8822776
Position Surface form Disambiguated ID Type / Status
Subject Universal Scene Description E209945 entity
Predicate hasComponent P35 FINISHED
Object USD Physics E243594 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: USD Physics | Statement: [Universal Scene Description, hasComponent, USD Physics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USD Physics
Context triple: [Universal Scene Description, hasComponent, USD Physics]
  • A. USD chosen
    USD (Universal Scene Description) is an open-source 3D scene description and interchange framework developed by Pixar, widely used for creating, composing, and collaborating on complex virtual worlds and assets.
  • B. USD
    USD is a public research university located in Vermillion, South Dakota, known for its programs in law, medicine, and business.
  • C. Physick
    Physick is a surname most notably associated with Dr. Emlen Physick Jr., a prominent 19th-century physician and member of a distinguished American family.
  • D. UND
    UND is the men's ice hockey program of the University of North Dakota, one of the most successful and storied teams in NCAA Division I history.
  • E. US BGN
    US BGN is the standard abbreviation for the United States Board on Geographic Names, the federal body responsible for establishing and maintaining uniform geographic name usage across the U.S. government.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc602ed87c8190ab772e5cbb2da68d completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd3b3348190a63bfd29860cc95f completed April 3, 2026, 7:44 a.m.
Created at: March 30, 2026, 6:46 p.m.