Triple

T6996418
Position Surface form Disambiguated ID Type / Status
Subject Priene E162226 entity
Predicate hasUrbanPlanType P54635 FINISHED
Object Hippodamian plan 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: Hippodamian plan | Statement: [Priene, hasUrbanPlanType, Hippodamian plan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanPlanType
Context triple: [Priene, hasUrbanPlanType, Hippodamian plan]
  • A. hasUrbanPlanning
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • B. partOfUrbanPlanBy
    Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
  • C. mainUrbanPlan chosen
    Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
  • D. hasUrbanPlanner
    Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
  • E. hasUrbanClassification
    Indicates that an entity is assigned a specific urban status or category within a defined classification system.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c4a18881908d267137daed828b completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:32 p.m.