Triple

T1849372
Position Surface form Disambiguated ID Type / Status
Subject Casablanca Conference E41358 entity
Predicate targetOfPolicy P14666 FINISHED
Object Germany E1728 NE FINISHED

How this triple was built (3 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: Germany | Statement: [Casablanca Conference, targetOfPolicy, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Casablanca Conference, targetOfPolicy, Germany]
  • A. Germany chosen
    Germany is a major Central European country known for its pivotal role in 20th-century history, its strong industrial economy, and its influential contributions to science, philosophy, music, and engineering.
  • B. West Germany
    West Germany was the democratic, capitalist western portion of Germany during the Cold War, which became an economic powerhouse and key NATO member after World War II.
  • C. Germany and Austria
    Germany and Austria are neighboring Central European countries that share historical, cultural, and linguistic ties, including a common use of the German language.
  • D. Germania
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • E. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetOfPolicy
Context triple: [Casablanca Conference, targetOfPolicy, Germany]
  • A. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • B. hasPolicyGoal chosen
    Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
  • C. targetConstituency
    Indicates that something is directed toward, intended for, or affects a particular constituency or group of stakeholders.
  • D. targetsGroup
    Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
  • E. primaryTarget
    Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
  • F. None of above.

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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea80b1190819097b812a3fa5020f0 completed March 9, 2026, 10:59 a.m.
PD Predicate disambiguation batch_69abafdca6d8819083c66f3a29fd9fd1 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.