Triple

T558056
Position Surface form Disambiguated ID Type / Status
Subject Division of Law Enforcement E11987 entity
Predicate hasOfficerType P4012 FINISHED
Object Environmental Conservation Officer E69923 NE FINISHED

How this triple was built (3 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: Environmental Conservation Officer | Statement: [Division of Law Enforcement, hasOfficerType, Environmental Conservation Officer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Environmental Conservation Officer
Context triple: [Division of Law Enforcement, hasOfficerType, Environmental Conservation Officer]
  • A. Environmental Conservation Officers chosen
    Environmental Conservation Officers are specialized law enforcement officials responsible for enforcing environmental and wildlife laws, protecting natural resources, and ensuring public safety in outdoor and protected areas.
  • B. Environmental Protection Division
    The Environmental Protection Division is the branch of Georgia’s state government responsible for enforcing environmental laws and regulations, monitoring air and water quality, and overseeing pollution control and resource protection programs.
  • C. Environmental Defense Section
    The Environmental Defense Section is a unit within the U.S. Department of Justice that defends federal agencies and programs in litigation involving environmental and natural resources laws.
  • D. Wildlife Resources Division
    The Wildlife Resources Division is a branch of Georgia’s state government responsible for managing and conserving the state’s wildlife, freshwater fisheries, and related outdoor recreational resources.
  • E. Division of Lands and Forests
    The Division of Lands and Forests is a unit of New York State’s environmental agency responsible for managing state-owned forests, public lands, and related natural resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficerType
Context triple: [Division of Law Enforcement, hasOfficerType, Environmental Conservation Officer]
  • A. isOfficerOf chosen
    Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
  • B. hasAffiliationType
    Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
  • C. hasOfficeType
    Indicates that an entity’s office is classified as a specific type or category of office.
  • D. hasPublicAuthorityType
    Indicates that an entity possesses a specific type or category of public authority status or role.
  • E. hasOfficerBranchCode
    Indicates that an entity is associated with an officer whose organizational or departmental branch is identified by a specific code.
  • F. None of above.

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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499dd84ec81909d2b309da057b9c6 completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9bb3b28819099ed0027d948483a completed March 2, 2026, 1:36 a.m.
PD Predicate disambiguation batch_69a494bd78e8819083c519669158f209 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.