Triple

T7817063
Position Surface form Disambiguated ID Type / Status
Subject Eixo Rodoviário E181035 entity
Predicate hasUrbanImpact P73473 FINISHED
Object shapes land use along its corridor 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: shapes land use along its corridor | Statement: [Eixo Rodoviário, hasUrbanImpact, shapes land use along its corridor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanImpact
Context triple: [Eixo Rodoviário, hasUrbanImpact, shapes land use along its corridor]
  • A. hasUrbanInfluence chosen
    Indicates that one entity exerts or reflects the characteristics, impact, or style of an urban area on another entity.
  • B. hasUrbanIssue
    Indicates that an entity experiences, is affected by, or is associated with a specific problem or challenge related to urban environments or city life.
  • C. 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.
  • D. hasUrbanPlanning
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • E. isUrbanizing
    Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96ea6d881908eff5f750e0f6700 completed March 30, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69cae91687788190af9cb7aaa996d291 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:39 p.m.