Triple

T22557934
Position Surface form Disambiguated ID Type / Status
Subject Germany and Italy E557735 entity
Predicate haveSignificantBilateralTrade P9483 FINISHED
Object true 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: true | Statement: [Germany and Italy, haveSignificantBilateralTrade, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveSignificantBilateralTrade
Context triple: [Germany and Italy, haveSignificantBilateralTrade, true]
  • A. hasRegionalTrade
    Indicates that there is an ongoing or established trade relationship between two regions or territorial entities.
  • B. isLinkedEconomicallyTo chosen
    Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
  • C. bilateralRelation
    Indicates a mutual or two-way relationship between two entities, where each affects or interacts with the other.
  • D. hasBinationalCooperationBody
    Indicates that there exists a formal cooperative body jointly established and operated by two nations to manage or coordinate shared interests or activities.
  • E. tradeBloc
    Indicates a formal economic relationship in which entities participate together in a trade bloc, coordinating trade policies and often reducing barriers to commerce among members.
  • 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.