Triple

T5353137
Position Surface form Disambiguated ID Type / Status
Subject Port of Gothenburg E102624 entity
Predicate countryTradeShare P63200 FINISHED
Object about 30% of Swedish foreign trade by volume 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: about 30% of Swedish foreign trade by volume | Statement: [Port of Gothenburg, countryTradeShare, about 30% of Swedish foreign trade by volume]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryTradeShare
Context triple: [Port of Gothenburg, countryTradeShare, about 30% of Swedish foreign trade by volume]
  • A. percentageOfWorldTrade
    Indicates the proportion of total global trade that is accounted for by a particular entity or group.
  • B. isLinkedEconomicallyTo
    Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
  • C. economicIntegrationLevel
    Indicates the degree to which two or more entities’ economies are interconnected and coordinated through shared markets, policies, or institutions.
  • D. sharesCountryWith
    Indicates that two entities are located in, originate from, or are otherwise associated with the same country.
  • E. mainTradingPartnerCountry
    Indicates the country that serves as the primary trading partner for a given entity, based on the largest or most significant volume of trade.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd861327288190b3f2720ce81e0de6 completed March 20, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd85e69e808190b29548670fd2900a completed March 20, 2026, 5:37 p.m.
Created at: March 20, 2026, 2:01 p.m.