Triple

T4969233
Position Surface form Disambiguated ID Type / Status
Subject Country Club de Bogotá area E111604 entity
Predicate realEstateMarketSegment P61509 FINISHED
Object high-income 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: high-income | Statement: [Country Club de Bogotá area, realEstateMarketSegment, high-income]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: realEstateMarketSegment
Context triple: [Country Club de Bogotá area, realEstateMarketSegment, high-income]
  • A. propertyMarket
    Indicates a relationship where real estate or properties are being offered, traded, or evaluated within a market context.
  • B. realEstateCategory
    Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
  • C. 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.
  • D. propertyStatus
    Indicates the current condition, state, or classification assigned to a property within a given context (e.g., availability, legal standing, or operational state).
  • E. commercialArea
    Indicates that the location or region is designated primarily for commercial activities such as businesses, shops, or services.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd72e49b048190bac55d9e7a6f7963 completed March 20, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69bd71447fe88190bb62c5e8753da7a7 completed March 20, 2026, 4:09 p.m.
PDg Predicate description generation batch_69bd72e1b7cc8190b2e621fdf8f22e38 completed March 20, 2026, 4:16 p.m.
Created at: March 20, 2026, 1:32 p.m.