Triple

T38532785
Position Surface form Disambiguated ID Type / Status
Subject Russian Federation military ranks E923410 entity
Predicate hasNavalEnlistedRank P198889 FINISHED
Object Seaman 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: Seaman | Statement: [Russian Federation military ranks, hasNavalEnlistedRank, Seaman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNavalEnlistedRank
Context triple: [Russian Federation military ranks, hasNavalEnlistedRank, Seaman]
  • A. hasNavalRank chosen
    Indicates that one entity holds or is assigned a specific rank within a naval hierarchy or organization.
  • B. hasNotableNavalRank
    Indicates that an entity holds or has held a distinguished or significant rank within a naval organization.
  • C. navalRankContext
    Indicates the relationship between an entity and its naval rank within a specific organizational, temporal, or situational context.
  • D. hasNavalRole
    Indicates that an entity holds or is assigned a role, function, or duty within a naval or maritime context.
  • E. equivalentRankInNavy
    Indicates that two military positions are considered to have the same rank or level within their respective naval forces.
  • 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_69f76ea8f6348190a5c03fb6292bbee3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffebbd9bac8190b3dca4b7252a2278 completed May 10, 2026, 2:21 a.m.
PD Predicate disambiguation batch_69ffe93120a08190a44bb64d052eda78 completed May 10, 2026, 2:10 a.m.
Created at: May 3, 2026, 4:32 p.m.