Triple

T15866264
Position Surface form Disambiguated ID Type / Status
Subject Air Vice-Marshal E384720 entity
Predicate equivalentRankInNavy P120819 FINISHED
Object Rear Admiral 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: Rear Admiral | Statement: [Air Vice-Marshal, equivalentRankInNavy, Rear Admiral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentRankInNavy
Context triple: [Air Vice-Marshal, equivalentRankInNavy, Rear Admiral]
  • A. equivalentRankInUSNavy
    Indicates that two military positions or ranks are considered equivalent in status or grade within the hierarchy of the United States Navy.
  • B. equivalentRankInNOAACommissionedOfficerCorps
    Indicates that two positions or grades hold the same rank level within the NOAA Commissioned Officer Corps.
  • C. equivalentRankInPortugueseNavy
    Indicates that two military ranks are considered equivalent in status or hierarchy within the Portuguese Navy.
  • D. equivalentRankInUSAF
    Indicates that two military ranks are considered equivalent in status or grade within the United States Air Force.
  • E. navalRankContext
    Indicates the relationship between an entity and its naval rank within a specific organizational, temporal, or situational context.
  • F. None of above. chosen

Provenance (4 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
PDg Predicate description generation batch_69e174da2c2c819099ec46616798245a completed April 16, 2026, 11:46 p.m.
Created at: April 10, 2026, 4:50 a.m.