Triple

T6072914
Position Surface form Disambiguated ID Type / Status
Subject Greater Lima conurbation E135326 entity
Predicate urbanContinuity P68484 FINISHED
Object continuous urban expanse 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: continuous urban expanse | Statement: [Greater Lima conurbation, urbanContinuity, continuous urban expanse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanContinuity
Context triple: [Greater Lima conurbation, urbanContinuity, continuous urban expanse]
  • A. urbanMorphology
    Indicates the spatial form, structure, and layout relationships that characterize the physical configuration of an urban area.
  • B. urbanAdaptation
    Indicates how well an entity adjusts its behavior, structure, or function to survive and operate effectively in urban environments.
  • C. urbanDesign
    Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
  • D. urbanSuccessor
    Indicates that one urban area directly follows or replaces another in a temporal or developmental sequence, serving as its successor in an urban context.
  • E. urbanDevelopment
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05759d29481908912015e734ab943 completed March 22, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69c049f21fe08190995df3c5c05fb8ea completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8d4a148190bd8f95caae978e1b completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:11 p.m.