Triple

T9785018
Position Surface form Disambiguated ID Type / Status
Subject Petty Officer Second Class (United States Navy) E237471 entity
Predicate typicalExperienceLevel P90637 FINISHED
Object several years of naval service 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: several years of naval service | Statement: [Petty Officer Second Class (United States Navy), typicalExperienceLevel, several years of naval service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalExperienceLevel
Context triple: [Petty Officer Second Class (United States Navy), typicalExperienceLevel, several years of naval service]
  • A. typeOfExperience
    Indicates that one entity specifies the category or nature of an experience associated with another entity.
  • B. trainingLevel
    Indicates the degree or stage of training or skill development that an entity has attained.
  • C. experienceType
    Indicates the specific kind or category of experience associated with an entity or event.
  • D. typicalEquipmentLevel
    Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
  • E. settingOfExperience
    Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b8b0a481909d9f7a25881d53be completed April 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69cd03d77c6c81909b675955bf113320 completed April 1, 2026, 11:39 a.m.
PDg Predicate description generation batch_69cd06aa8bc88190904be19c8953def8 completed April 1, 2026, 11:51 a.m.
Created at: March 30, 2026, 8:27 p.m.