Triple

T4160338
Position Surface form Disambiguated ID Type / Status
Subject Jirón Huallaga E91516 entity
Predicate hasUrbanMorphology P37688 FINISHED
Object narrow colonial street 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: narrow colonial street | Statement: [Jirón Huallaga, hasUrbanMorphology, narrow colonial street]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanMorphology
Context triple: [Jirón Huallaga, hasUrbanMorphology, narrow colonial street]
  • A. urbanMorphology chosen
    Indicates the spatial form, structure, and layout relationships that characterize the physical configuration of an urban area.
  • B. hasUrbanFabric
    Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
  • C. 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.
  • D. 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.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0321eee88190871c1d4bf44a5007 completed March 9, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69af018dc90c8190a754b1bfbc802e80 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:44 p.m.