Triple

T3721992
Position Surface form Disambiguated ID Type / Status
Subject Storm Detachment E81657 entity
Predicate usedRankSystem P12770 FINISHED
Object paramilitary ranks 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: paramilitary ranks | Statement: [Storm Detachment, usedRankSystem, paramilitary ranks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedRankSystem
Context triple: [Storm Detachment, usedRankSystem, paramilitary ranks]
  • A. usesRank chosen
    Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
  • B. usesRankStructure
    Indicates that an entity organizes its members or components according to a defined hierarchical rank structure.
  • C. formerRanking
    Indicates that an entity previously held a particular rank or position but no longer does so.
  • D. rankingPoints
    Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
  • E. hasRankingUnit
    Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adca9d29208190bbf38a6aa88f954a completed March 8, 2026, 7:14 p.m.
PD Predicate disambiguation batch_69adc0436e508190909ec4a3e8443aef completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.