Triple

T35781175
Position Surface form Disambiguated ID Type / Status
Subject RMC Paladins E1034438 entity
Predicate hasMilitaryRequirement P137953 FINISHED
Object participation in officer training program 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: participation in officer training program | Statement: [RMC Paladins, hasMilitaryRequirement, participation in officer training program]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMilitaryRequirement
Context triple: [RMC Paladins, hasMilitaryRequirement, participation in officer training program]
  • A. hasMilitaryStatus
    Indicates that an entity possesses a specific military affiliation, role, or status (such as active duty, reserve, or veteran).
  • B. hasMilitaryCondition chosen
    Indicates that an entity is subject to a specific military-related status, requirement, or condition.
  • C. hadMilitaryObligationsTo
    Indicates that one party was bound by duty or law to provide military service, support, or protection to another party.
  • D. militaryBranchEligibility
    Indicates that an entity meets the required conditions to serve in a specified branch of the military.
  • E. hasMilitaryClass
    Indicates that an entity belongs to, is assigned to, or is categorized under a specific military class or classification.
  • 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_69f76e14a1e081908eddd57bd6fdb3be completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd4129a8848190a5002150278ac689 completed May 8, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69fd3e0515ec8190937c7af71ebc3875 completed May 8, 2026, 1:36 a.m.
Created at: May 3, 2026, 4:06 p.m.