Triple

T15049030
Position Surface form Disambiguated ID Type / Status
Subject Serenbe E379304 entity
Predicate zoningApproach P66359 FINISHED
Object mixed-use zoning 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-use zoning | Statement: [Serenbe, zoningApproach, mixed-use zoning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: zoningApproach
Context triple: [Serenbe, zoningApproach, mixed-use zoning]
  • A. hasZoningApproach chosen
    Indicates the type or method of zoning policy or strategy that is applied to or associated with an entity.
  • B. zoningAuthority
    Indicates that an entity has official power or jurisdiction to regulate land use and development within a specified area.
  • C. hasZoningPolicy
    Indicates that a governing body or authority has established or adopted a specific zoning policy that regulates land use or development within its jurisdiction.
  • D. zoningRole
    Indicates the specific function, restriction, or regulatory status assigned to a property or area under zoning regulations.
  • E. zoningCharacter
    Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69de9a69d7848190b2b4662dd30f20e9 completed April 14, 2026, 7:50 p.m.
Created at: April 10, 2026, 3 a.m.