Triple

T29381379
Position Surface form Disambiguated ID Type / Status
Subject Akademi Militer E745143 entity
Predicate cadetRankTitle P6058 FINISHED
Object Taruna 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: Taruna | Statement: [Akademi Militer, cadetRankTitle, Taruna]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cadetRankTitle
Context triple: [Akademi Militer, cadetRankTitle, Taruna]
  • A. hasCadetRank chosen
    Indicates that an entity holds or is assigned a cadet-level rank within a hierarchical or military-style ranking system.
  • B. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • C. civilServiceRank
    Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
  • D. hasCadetRankStructure
    Indicates that an entity possesses or defines an organizational hierarchy of cadet ranks.
  • E. commandingOfficerRank
    Indicates the military rank held by the officer who has command authority over a given individual or unit.
  • 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_69f0a79cfd5481909b4dde750cb8d2c6 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669ce489081909e5b3187581daa29 completed May 2, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69f660f4f7a88190b93c60d76b86c912 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 2:35 p.m.