Triple

T12099477
Position Surface form Disambiguated ID Type / Status
Subject Abraham Adesanya Estate E288152 entity
Predicate realEstateDemand P103501 FINISHED
Object high demand for housing 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 demand for housing | Statement: [Abraham Adesanya Estate, realEstateDemand, high demand for housing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: realEstateDemand
Context triple: [Abraham Adesanya Estate, realEstateDemand, high demand for housing]
  • A. realEstateMarketSegment
    Indicates the specific portion or category of the real estate market to which a property, transaction, or activity belongs (e.g., by price range, property type, or target buyer group).
  • B. propertyMarket
    Indicates a relationship where real estate or properties are being offered, traded, or evaluated within a market context.
  • C. realEstateCategory
    Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
  • 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. 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.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9178ad99c8190a54777b9bbe998bc completed April 10, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69d915000454819089fee00022055599 completed April 10, 2026, 3:19 p.m.
PDg Predicate description generation batch_69d9178814e081908f67e3846718530e completed April 10, 2026, 3:30 p.m.
Created at: April 8, 2026, 9:48 p.m.