Triple

T34237447
Position Surface form Disambiguated ID Type / Status
Subject officer cadet corps E878372 entity
Predicate membershipRank P148088 FINISHED
Object officer cadet LITERAL 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: officer cadet | Statement: [officer cadet corps, membershipRank, officer cadet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: membershipRank
Context triple: [officer cadet corps, membershipRank, officer cadet]
  • A. membershipStatus
    Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
  • B. memberHeldRank chosen
    Indicates that a member possessed or occupied a specific rank or position within an organization or hierarchy.
  • C. membershipCard
    Indicates that an entity possesses or is associated with a specific membership card within an organization or system.
  • D. membershipBy
    Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
  • E. clubMembership
    Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
  • F. None of above.

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_69f349b22d8c819096b22df268382aa9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
Created at: May 1, 2026, 1:56 a.m.