Triple

T2030250
Position Surface form Disambiguated ID Type / Status
Subject Brussels Park E44498 entity
Predicate hasPlanningStyle P34728 FINISHED
Object neoclassical urban design 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: neoclassical urban design | Statement: [Brussels Park, hasPlanningStyle, neoclassical urban design]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlanningStyle
Context triple: [Brussels Park, hasPlanningStyle, neoclassical urban design]
  • A. hasPlanningCharacteristic
    Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
  • B. hasPlanningStatus
    Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
  • C. hasPlanningLevel
    Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
  • D. hasDecisionMakingStyle
    Indicates that an entity possesses or exhibits a particular way or pattern of making decisions.
  • E. hasPlan
    Indicates that an entity possesses or is associated with a specific plan or course of action.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb914a40081909a937689bea3dc85 completed March 7, 2026, 5:35 a.m.
PD Predicate disambiguation batch_69abb7a656248190ac2ced196b35bc6b completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb85fe7a08190b991b1f23bc34f93 completed March 7, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:38 p.m.