Triple

T19957504
Position Surface form Disambiguated ID Type / Status
Subject JPS Norton E479722 entity
Predicate sponsoredBy P67 FINISHED
Object JPS 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: JPS | Statement: [JPS Norton, sponsoredBy, JPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JPS
Context triple: [JPS Norton, sponsoredBy, JPS]
  • A. JPS chosen
    JPS is the commonly used abbreviation for the Physical Society of Japan, a major academic organization dedicated to advancing physics research and education in Japan.
  • B. JPSP
    JPSP is a leading peer-reviewed academic journal that publishes research in personality and social psychology.
  • C. JPO
    JPO is an acronym commonly used for the Joint Program Office, a centralized organization that manages and oversees major joint military acquisition programs.
  • D. JPS Norton
    JPS Norton was a racing team associated with legendary motorcycle racer Joey Dunlop, competing with Norton machines in road racing events.
  • E. JPSS
    JPSS is a series of next-generation U.S. polar-orbiting environmental satellites that provide critical weather, climate, and environmental data for forecasting and research.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af1b32c81908ebe0e2570ec06a9 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.