Triple

T26184291
Position Surface form Disambiguated ID Type / Status
Subject Nieuwerkerken E654779 entity
Predicate hasSmallVillageCommunities P109384 FINISHED
Object true 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: true | Statement: [Nieuwerkerken, hasSmallVillageCommunities, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSmallVillageCommunities
Context triple: [Nieuwerkerken, hasSmallVillageCommunities, true]
  • A. hasSmallCommunities chosen
    Indicates that an entity possesses or is characterized by the presence of relatively small communities within it.
  • B. hasVillage
    Indicates that an entity possesses, contains, or is associated with a village.
  • C. hasRuralCommunes
    Indicates that an entity possesses, includes, or is associated with one or more rural communes.
  • D. hasLargestVillage
    Indicates that one entity possesses or contains the village that is largest in size or population within a specified context or set.
  • E. hasLocalCommunities
    Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
  • 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_69ee5b469bc081908fe486453fdad810 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c72995481909d7e33abb0df2298 completed May 2, 2026, 2:38 p.m.
PD Predicate disambiguation batch_69f5f7fd90fc81909055b211368f9139 completed May 2, 2026, 1:11 p.m.
Created at: April 26, 2026, 8:41 p.m.