Triple

T6122665
Position Surface form Disambiguated ID Type / Status
Subject Thunderbird E136519 entity
Predicate hasPrivacyFocus P15689 FINISHED
Object true 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: true | Statement: [Thunderbird, hasPrivacyFocus, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrivacyFocus
Context triple: [Thunderbird, hasPrivacyFocus, true]
  • A. hasAreaOfInterest
    Indicates that an entity possesses or is associated with a particular area of interest or focus.
  • B. privacyCharacteristic chosen
    Indicates the specific privacy-related property or feature that characterizes how information is handled, protected, or exposed in a given context.
  • C. hasCoverageFocus
    Indicates that one entity’s coverage, attention, or analysis is specifically focused on or directed toward another entity.
  • D. hasSeclusion
    Indicates that one entity provides, involves, or is characterized by a state or condition of privacy, isolation, or separation from others for another entity.
  • E. privacyProperty
    Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c247b7081909972b40afb165e6f completed March 22, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69c049f9ab3c81909c8ab6466f6a2935 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:14 p.m.