Triple

T3636615
Position Surface form Disambiguated ID Type / Status
Subject Deutschland class E77083 entity
Predicate treatyDisplacementLimit P49735 FINISHED
Object 10000 long tons 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: 10000 long tons | Statement: [Deutschland class, treatyDisplacementLimit, 10000 long tons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatyDisplacementLimit
Context triple: [Deutschland class, treatyDisplacementLimit, 10000 long tons]
  • A. usedToRestrictEmigrationTo
    Indicates that an entity implemented measures or policies to limit or control people leaving a particular place or jurisdiction.
  • B. limitedImmigrationFrom
    Indicates that an entity restricts or caps the number or conditions of immigrants coming from a specified source entity.
  • C. usedToRestrictEmigrationFrom
    Indicates that something was employed as a means to limit or control people leaving a particular place or country.
  • D. restrictedImmigrantsFrom
    Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
  • E. displacedBy
    Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3278bb8819098bbeac023410111 completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb902e61c81908f10494f828e260f completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:24 p.m.