Triple

T12312272
Position Surface form Disambiguated ID Type / Status
Subject Suzano E293507 entity
Predicate hasUrbanIntegrationWith P94117 FINISHED
Object neighboring industrial municipalities in Greater São Paulo 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: neighboring industrial municipalities in Greater São Paulo | Statement: [Suzano, hasUrbanIntegrationWith, neighboring industrial municipalities in Greater São Paulo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanIntegrationWith
Context triple: [Suzano, hasUrbanIntegrationWith, neighboring industrial municipalities in Greater São Paulo]
  • A. 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.
  • B. 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.
  • C. hasUrbanAccess
    Indicates that an entity has access to urban areas, services, or infrastructure.
  • D. hasUrbanFabric
    Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
  • E. hasUrbanRelation chosen
    Indicates a relationship where one entity is connected to another through an urban context, such as city-based location, influence, or interaction.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.