Triple

T27467310
Position Surface form Disambiguated ID Type / Status
Subject Hilversum schools E693210 entity
Predicate hasCityPlanner P65920 FINISHED
Object Willem Marinus Dudok 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: Willem Marinus Dudok | Statement: [Hilversum schools, hasCityPlanner, Willem Marinus Dudok]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityPlanner
Context triple: [Hilversum schools, hasCityPlanner, Willem Marinus Dudok]
  • A. hasUrbanPlanner chosen
    Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
  • B. hasUrbanPlanning
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • C. hasCityPlanningContext
    Indicates that something is associated with, relevant to, or situated within a particular city planning context, such as urban development, zoning, or land-use planning.
  • D. cityOfPlanning
    Indicates the city where the planning or design activities for something (e.g., a project, event, or development) are carried out.
  • E. roleInUrbanPlan
    Indicates the specific function, responsibility, or position an entity holds within an urban planning context or scheme.
  • 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_69ef538105548190a771cc5a0cf8c211 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 27, 2026, 12:52 p.m.