Triple

T3577941
Position Surface form Disambiguated ID Type / Status
Subject ECHELON E75731 entity
Predicate oversightConcerns P49816 FINISHED
Object privacy 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: privacy | Statement: [ECHELON, oversightConcerns, privacy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oversightConcerns
Context triple: [ECHELON, oversightConcerns, privacy]
  • A. oversightFocus
    Indicates that one entity’s oversight, supervision, or monitoring activities are specifically directed toward another entity or aspect.
  • B. oversightType
    Indicates the specific kind or category of oversight applied to an entity or activity, such as the manner or level of supervision, review, or regulatory control involved.
  • C. oversightScope
    Indicates the range or extent of responsibilities and activities that fall under an entity’s oversight or supervisory authority.
  • D. oversightGoal
    Indicates that an entity has the purpose or objective of overseeing, supervising, or monitoring another entity, process, or activity.
  • E. oversightTools
    Indicates that certain tools or mechanisms are used to monitor, review, or supervise the actions or performance of an entity.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0dd3e048190a0c6666e13ead9cd completed March 8, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb8e4ba948190a9b777cf7f788b96 completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:21 p.m.