Triple

T8637006
Position Surface form Disambiguated ID Type / Status
Subject Utopia E204546 entity
Predicate hasGuestAppearance P4920 FINISHED
Object NAV E68072 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: NAV | Statement: [Utopia, hasGuestAppearance, NAV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAV
Context triple: [Utopia, hasGuestAppearance, NAV]
  • A. NAV
    NAV is Norway’s public agency responsible for administering social security, welfare benefits, and employment services.
  • B. Nav chosen
    Nav is a Canadian rapper, singer, songwriter, and record producer known for his melodic trap sound and collaborations with prominent hip-hop artists.
  • C. Don Navigation
    Don Navigation is a canalised section of the River Don in South Yorkshire, England, forming part of the region’s historic inland waterway network for commercial and leisure boating.
  • D. Quick Nav
    Quick Nav is a VoiceOver navigation mode that lets users move through content and controls more quickly using simplified keyboard commands.
  • E. Navigation Acts
    The Navigation Acts were a series of 17th-century English laws that regulated colonial trade to strengthen national shipping and ensure that commerce with the colonies benefited England.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc476255508190b3e5855232b399a0 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccaa77688190bbcf3fbd6af7c195 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:27 p.m.