Triple

T9202444
Position Surface form Disambiguated ID Type / Status
Subject Morgenthau Plan E220877 entity
Predicate includedMeasure P1393 FINISHED
Object dismantling of German heavy industry 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: dismantling of German heavy industry | Statement: [Morgenthau Plan, includedMeasure, dismantling of German heavy industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includedMeasure
Context triple: [Morgenthau Plan, includedMeasure, dismantling of German heavy industry]
  • A. includesMeasure
    Indicates that one entity contains, incorporates, or makes use of a particular measurement or quantitative value as part of its definition or specification.
  • B. includes chosen
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • C. requiresMeasures
    Indicates that one entity necessitates the implementation or presence of specific measures, actions, or safeguards in relation to another entity or situation.
  • D. adoptedMeasure
    Indicates that an entity has formally accepted and put into effect a specific measure, policy, or course of action.
  • E. includedBy
    Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd943cfb0819082231d80f0dc073b completed April 1, 2026, 8:37 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:26 p.m.