Triple

T3181180
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Bulgaria E66588 entity
Predicate internationalOrganization P11210 FINISHED
Object League of Nations member 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: League of Nations member | Statement: [Kingdom of Bulgaria, internationalOrganization, League of Nations member]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internationalOrganization
Context triple: [Kingdom of Bulgaria, internationalOrganization, League of Nations member]
  • A. involvedInternationalOrganization chosen
    Indicates that an entity participates in, is affiliated with, or plays a role within an international organization.
  • B. geopoliticalOrganization
    Indicates that an entity functions as a political or governmental body associated with a specific geographic region or territory.
  • C. UNRegion
    Indicates that an entity belongs to, or is associated with, a specific United Nations–defined geographic region.
  • D. internationalOrganizationStatus
    Indicates that an entity holds a recognized status or role within an international organization.
  • E. hasSupranationalInstitution
    Indicates that an entity is associated with or governed by an institution that operates above the level of individual nation-states.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6a1280c8190b59a2afd30312c02 completed March 8, 2026, 4:41 p.m.
PD Predicate disambiguation batch_69ad9e02677c8190a21d93b1259b2761 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.