Triple

T24201847
Position Surface form Disambiguated ID Type / Status
Subject Chernoye volcano E600001 entity
Predicate monitoringCountry P155158 FINISHED
Object Russia NE NERFINISHED

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: Russia | Statement: [Chernoye volcano, monitoringCountry, Russia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monitoringCountry
Context triple: [Chernoye volcano, monitoringCountry, Russia]
  • A. countryMonitored
    Indicates that one country is being observed, supervised, or kept under surveillance by another entity or authority.
  • B. countryStatus
    Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
  • C. countryTargeted
    Indicates that a particular country is the intended object or focus of an action, operation, or influence.
  • D. countryAssessed
    Indicates that a particular country has been evaluated or examined according to a specified assessment, criteria, or process.
  • E. associatedCountry
    Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
  • 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca1f3b481908c14052a8435fd21 completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f1c9834064819082024233d9c6f98f completed April 29, 2026, 9:04 a.m.
Created at: April 17, 2026, 11:36 p.m.