Triple

T297919
Position Surface form Disambiguated ID Type / Status
Subject North Beach E6132 entity
Predicate urbanCharacter P749 FINISHED
Object mixed residential and commercial 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: mixed residential and commercial | Statement: [North Beach, urbanCharacter, mixed residential and commercial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanCharacter
Context triple: [North Beach, urbanCharacter, mixed residential and commercial]
  • A. hasSuburbanCharacter
    Indicates that something possesses qualities or features typically associated with suburban areas, such as lower density, residential focus, and car-oriented development.
  • B. urbanAreaType chosen
    Indicates the classification of an area based on its urban characteristics or development type (e.g., city, town, suburb, metropolitan region).
  • C. city2
    Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
  • D. 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.
  • E. hasUrbanRole
    Indicates that an entity plays a specific functional or social role within an urban or city context.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea4778cc8190be7b648a82542891 completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e937af888190a0960708f09ae033 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.