Triple

T13474534
Position Surface form Disambiguated ID Type / Status
Subject Politics of Guernsey E318215 entity
Predicate treatyMaking P54899 FINISHED
Object usually through the United Kingdom 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: usually through the United Kingdom | Statement: [Politics of Guernsey, treatyMaking, usually through the United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatyMaking
Context triple: [Politics of Guernsey, treatyMaking, usually through the United Kingdom]
  • A. treaty
    Indicates a formal, negotiated agreement or pact established between entities, typically states or organizations, that defines mutual obligations, rights, or terms of cooperation.
  • B. treatyConcluded
    Indicates that a formal agreement or treaty has been officially finalized and brought into force between the involved parties.
  • C. treatyProcess chosen
    Indicates a formal process of negotiating, drafting, adopting, or implementing a treaty between parties.
  • D. treatyOf
    Indicates a formal agreement or pact established between entities, typically states or organizations, defining their mutual obligations or terms.
  • E. treatyFocus
    Indicates that a treaty is primarily concerned with, directed toward, or centered on a particular subject, issue, or area.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69dbadfddefc81909ef7fde23b181b5c completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:42 p.m.