Triple

T4128844
Position Surface form Disambiguated ID Type / Status
Subject Distinguished Service Order E84990 entity
Predicate typicalRankOfRecipient P9317 FINISHED
Object major or equivalent and above 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: major or equivalent and above | Statement: [Distinguished Service Order, typicalRankOfRecipient, major or equivalent and above]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRankOfRecipient
Context triple: [Distinguished Service Order, typicalRankOfRecipient, major or equivalent and above]
  • A. typicalRecipientPosition
    Indicates the usual or expected spatial or organizational position where a recipient is located relative to the action or source.
  • B. typicalRank chosen
    Indicates the usual or most common rank or position an entity holds within a given ordering or hierarchy.
  • C. notableRecipientType
    Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
  • D. typicalRecipientAffiliation
    Indicates that the usual or expected recipients of something (e.g., a message, service, or resource) are associated with a particular organization, group, or affiliation.
  • E. typicalNumberOfRecipientsPerYear
    Indicates the usual or average count of recipients involved in or affected by something within a one-year period.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03a0f3408190adba7a8513bd3d12 completed March 9, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69af01883b6c8190a482ead589a131a5 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:42 p.m.