Triple

T22558026
Position Surface form Disambiguated ID Type / Status
Subject Poland and Germany E557737 entity
Predicate haveEconomicRelationshipType P88389 FINISHED
Object major trading partnership 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: major trading partnership | Statement: [Poland and Germany, haveEconomicRelationshipType, major trading partnership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveEconomicRelationshipType
Context triple: [Poland and Germany, haveEconomicRelationshipType, major trading partnership]
  • A. financialRelationshipWith
    Indicates a financial connection or association between entities, such as ownership, investment, funding, or other monetary ties.
  • B. hasEconomicActor
    Indicates that an entity participates in or influences an economic activity, process, or system in the role of an economic actor.
  • C. hasEconomicIdentity
    Indicates that an entity possesses a distinct economic role, profile, or characterization within an economic system or context.
  • D. hasRelationships chosen
    Indicates that an entity is connected to one or more other entities through specified types of relationships.
  • E. capitalRelation
    Indicates that one place serves as the capital city or administrative center of another political or geographic 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69e898cb3fb48190add6ab24a2df5822 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:52 p.m.