Triple

T6646696
Position Surface form Disambiguated ID Type / Status
Subject Incheon Free Economic Zone E150717 entity
Predicate hasUrbanModel P72019 FINISHED
Object smart city development 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: smart city development | Statement: [Incheon Free Economic Zone, hasUrbanModel, smart city development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanModel
Context triple: [Incheon Free Economic Zone, hasUrbanModel, smart city development]
  • A. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • B. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • C. hasUrbanFabric
    Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
  • D. hasUrbanClassification
    Indicates that an entity is assigned a specific urban status or category within a defined classification system.
  • E. isUrbanForm
    Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69c6ad04d66c8190926ffcbff372643b completed March 27, 2026, 4:15 p.m.
PDg Predicate description generation batch_69c6cc988c0081909d22b86ca299331c completed March 27, 2026, 6:29 p.m.
Created at: March 27, 2026, 2 p.m.