Triple

T31585471
Position Surface form Disambiguated ID Type / Status
Subject Brown’s Schoolhouse community E805944 entity
Predicate landUsePatternInfluencedBy P171989 FINISHED
Object Brown family NE NERFINISHED

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: Brown family | Statement: [Brown’s Schoolhouse community, landUsePatternInfluencedBy, Brown family]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landUsePatternInfluencedBy
Context triple: [Brown’s Schoolhouse community, landUsePatternInfluencedBy, Brown family]
  • A. urbanPlanningInfluencedBy
    Indicates that the principles, decisions, or outcomes of urban planning are shaped or guided by another factor, entity, or process.
  • B. landUseContext
    Indicates the contextual setting or circumstances under which a particular piece of land is used or designated for a specific purpose.
  • C. landUsePlanning
    Indicates the relationship in which an authority or agent organizes, regulates, or designates how land and space may be used or developed within a given area.
  • D. landUseEmphasis
    Indicates the primary type or focus of how a piece of land is used or intended to be used (e.g., residential, commercial, agricultural).
  • E. majorLandUse
    Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
  • 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_69f348d4891c8190b02bae3c8ecb68b7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a956e9b08190bf83547bba8e8147 completed May 3, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f6a8036ab481908019f2f071fa406e completed May 3, 2026, 1:42 a.m.
Created at: April 30, 2026, 10:25 p.m.