Triple

T28370173
Position Surface form Disambiguated ID Type / Status
Subject Kreis Kleve E718602 entity
Predicate hasBorderWithDutchProvince P224 FINISHED
Object Gelderland 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: Gelderland | Statement: [Kreis Kleve, hasBorderWithDutchProvince, Gelderland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderWithDutchProvince
Context triple: [Kreis Kleve, hasBorderWithDutchProvince, Gelderland]
  • A. isBorderMunicipality
    Indicates that a municipality is located on or directly adjacent to the border of a larger administrative region, country, or jurisdiction.
  • B. borderedBy chosen
    Indicates that one entity shares a common boundary or edge with another entity.
  • C. isBorderDistrict
    Indicates that a district is located along and directly borders the boundary of a larger administrative region or country.
  • D. provinceBordering
    Indicates that two provinces share a common boundary or border with each other.
  • E. hasBorderWithinCountry
    Indicates that one region or area shares an internal boundary with another region or area within the same country.
  • 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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
Created at: April 28, 2026, 12:59 a.m.