Triple

T26691835
Position Surface form Disambiguated ID Type / Status
Subject Waldbröl E672905 entity
Predicate hasMunicipalLinkType P9363 FINISHED
Object town twinning 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: town twinning | Statement: [Waldbröl, hasMunicipalLinkType, town twinning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalLinkType
Context triple: [Waldbröl, hasMunicipalLinkType, town twinning]
  • A. hasMunicipalityType
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • B. typeOfMunicipalRelationship chosen
    Indicates a formal type or category of administrative or cooperative relationship that exists between municipalities.
  • C. isPartOfMunicipalityType
    Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
  • D. hasMunicipalPart
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • E. hasMunicipalAgencyType
    Indicates that a municipal agency is classified as having a specific organizational or functional type.
  • 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_69eecda2066c8190a344218afa5e89c1 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b3a5fd8481909433e923c5e24e55 completed May 3, 2026, 2:32 a.m.
Created at: April 27, 2026, 3:26 a.m.