Triple

T25017526
Position Surface form Disambiguated ID Type / Status
Subject Czech Republic–Austria border E626179 entity
Predicate memberStateBorderOf P159714 FINISHED
Object European Union NE NERFINISHED

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: European Union | Statement: [Czech Republic–Austria border, memberStateBorderOf, European Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: memberStateBorderOf
Context triple: [Czech Republic–Austria border, memberStateBorderOf, European Union]
  • A. borderStateOf
    Indicates that one state shares a common boundary or border with another state.
  • B. memberStatesShareBorderAlong
    Indicates that two member states have a common boundary running along a specified geographic feature or segment.
  • C. borderingStateOrTerritory
    Indicates that one state or territory shares a common boundary with another state or territory.
  • D. provinceBordering
    Indicates that two provinces share a common boundary or border with each other.
  • E. isBorderMunicipality
    Indicates that a municipality is located on or directly adjacent to the border of a larger administrative region, country, or jurisdiction.
  • 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_69e2ff27755881908490178e83701160 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f5f7a205688190b8f36bff5013247c completed May 2, 2026, 1:09 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 18, 2026, 6:06 a.m.