Triple

T31291973
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom and the Netherlands E797964 entity
Predicate haveHistoricalConnections P7843 FINISHED
Object medieval trade 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: medieval trade | Statement: [United Kingdom and the Netherlands, haveHistoricalConnections, medieval trade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveHistoricalConnections
Context triple: [United Kingdom and the Netherlands, haveHistoricalConnections, medieval trade]
  • A. historicalContactWith
    Indicates that two entities have interacted or been in communication with each other at some point in the past.
  • B. hasNegativeHistoricalAssociation
    Indicates that one entity is historically linked to another in a way that is viewed as harmful, problematic, or disreputable.
  • C. hasHeritageConnectionWith
    Indicates a relationship where two entities are linked through shared, inherited, or culturally transmitted heritage or ancestry.
  • D. hasHistoricalTieTo chosen
    Indicates a relationship where one entity is historically connected or linked to another through past events, associations, or influences.
  • E. formerlyConnectedTo
    Indicates that two entities were once connected or associated in some way, but that connection no longer exists.
  • 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_69f224dfde288190af313f3c221c857e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:14 p.m.