Triple

T38118338
Position Surface form Disambiguated ID Type / Status
Subject Baker Heights E951858 entity
Predicate hasResidentialLandUse P9064 FINISHED
Object predominantly residential 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: predominantly residential | Statement: [Baker Heights, hasResidentialLandUse, predominantly residential]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasResidentialLandUse
Context triple: [Baker Heights, hasResidentialLandUse, predominantly residential]
  • A. hasResidentialBuilding
    Indicates that an entity possesses, contains, or is associated with a residential building as part of its properties or components.
  • B. isResidential
    Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
  • C. hasResidentialArea chosen
    Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
  • D. hasResidentialBuildingsType
    Indicates that an entity is associated with a specific type or category of residential buildings.
  • E. isResidentialUnitOf
    Indicates that a specific residential unit (e.g., apartment, house) belongs to or is part of a larger property, building, or complex.
  • 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_69f76f07734c8190814e937e12257a78 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:21 p.m.