Triple

T22276281
Position Surface form Disambiguated ID Type / Status
Subject Audi Museum Mobile E550614 entity
Predicate brandCovered P147660 FINISHED
Object NSU NE NERFINISHED

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: NSU | Statement: [Audi Museum Mobile, brandCovered, NSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSU
Context triple: [Audi Museum Mobile, brandCovered, NSU]
  • A. NSU
    NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
  • B. NSU chosen
    NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
  • C. NSUT
    NSUT is a premier engineering and technology university in New Delhi, India, known for its rigorous academics and strong research and innovation culture.
  • D. NSH
    NSH is the standard NHL abbreviation for the Nashville Predators hockey team.
  • E. NSTU
    NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea7ebbc8190948e8994e988adb3 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.