Triple

T16703005
Position Surface form Disambiguated ID Type / Status
Subject Mozilla VPN E405894 entity
Predicate hasServerLocations P77880 FINISHED
Object multiple geographic regions 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: multiple geographic regions | Statement: [Mozilla VPN, hasServerLocations, multiple geographic regions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasServerLocations
Context triple: [Mozilla VPN, hasServerLocations, multiple geographic regions]
  • A. hasServer
    Indicates that one entity functions as or possesses a server that provides services or resources to another entity.
  • B. hasChainLocations chosen
    Indicates that an entity operates or is associated with multiple locations belonging to the same chain or network.
  • C. hasServerComponent
    Indicates that an entity includes, depends on, or is associated with a particular server-side component.
  • D. hasLocationComponent
    Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
  • E. hasFacilityLocation
    Indicates that an entity possesses or is associated with a facility situated at a specific location.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.