Triple

T22726457
Position Surface form Disambiguated ID Type / Status
Subject Poland and Czech Republic E562005 entity
Predicate sharePoliticalDialogue P38190 FINISHED
Object regular bilateral meetings 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: regular bilateral meetings | Statement: [Poland and Czech Republic, sharePoliticalDialogue, regular bilateral meetings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharePoliticalDialogue
Context triple: [Poland and Czech Republic, sharePoliticalDialogue, regular bilateral meetings]
  • A. hasPoliticalDialogue chosen
    Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
  • B. isPoliticalHub
    Indicates that a place or entity serves as a central location or focal point for political activity, organization, or influence.
  • C. policyForum
    Indicates a relationship where entities participate in, are associated with, or are the subject of a policy-focused discussion or decision-making forum.
  • D. fieldOfDebate
    Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
  • E. discourse
    Indicates that one entity engages in extended verbal or written communication or discussion with another 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1792a2ee48190bfbdde1a72adfd25 completed April 29, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69eed2a971c0819088af574e40c9343f completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:20 p.m.