Triple

T14027550
Position Surface form Disambiguated ID Type / Status
Subject Hillsborough, California E337499 entity
Predicate hasZoningPolicyGoal P14666 FINISHED
Object preservation of semi-rural character 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: preservation of semi-rural character | Statement: [Hillsborough, California, hasZoningPolicyGoal, preservation of semi-rural character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasZoningPolicyGoal
Context triple: [Hillsborough, California, hasZoningPolicyGoal, preservation of semi-rural character]
  • A. 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.
  • B. hasPolicyGoal chosen
    Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
  • C. hasZoningApproach
    Indicates the type or method of zoning policy or strategy that is applied to or associated with an entity.
  • D. hasZoningRestriction
    Indicates that an entity is subject to a specific zoning-related limitation or regulatory constraint.
  • E. establishedPolicy
    Indicates that a policy has been formally created, adopted, and put into effect as a guiding rule or standard.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
PD Predicate disambiguation batch_69de05ab36b48190920efb1869bdb1fe completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.