Triple

T2176734
Position Surface form Disambiguated ID Type / Status
Subject Commander E48545 entity
Predicate mayConferStyle P1607 FINISHED
Object post-nominal letters specific to each order 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: post-nominal letters specific to each order | Statement: [Commander, mayConferStyle, post-nominal letters specific to each order]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayConferStyle
Context triple: [Commander, mayConferStyle, post-nominal letters specific to each order]
  • A. styleGranted chosen
    Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
  • B. usesAsStyleOf
    Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
  • C. mayHold
    Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
  • D. mayConduct
    Indicates that one entity is permitted or authorized to carry out, perform, or execute a particular action, process, or operation on or with another entity.
  • E. maySign
    Indicates that an entity has the permission or authority to sign a document, agreement, or similar item.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc4358fc88190a6f556c2de9fef8c completed March 7, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69abbda0ec948190be88c1243d81a423 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.