Triple

T1054067
Position Surface form Disambiguated ID Type / Status
Subject Burmese python E22761 entity
Predicate regulationStatusInFlorida P14058 FINISHED
Object prohibited species 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: prohibited species | Statement: [Burmese python, regulationStatusInFlorida, prohibited species]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulationStatusInFlorida
Context triple: [Burmese python, regulationStatusInFlorida, prohibited species]
  • A. regulatoryType chosen
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • B. regulatoryOutcome
    Indicates the result or consequence of a regulatory process, such as approval, rejection, modification, or other formal decision made by a regulatory authority regarding an entity or action.
  • C. nationalRegisterStatus
    Indicates whether an entity is listed, eligible, or otherwise classified within an official national register or registry.
  • D. statusInUnitedStates
    Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
  • E. governingStatus
    Indicates the political or administrative condition under which an entity is currently governed or exercising governing authority.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d669448190955507e2e4975b9f completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b731e25c8190b5ea8466648c2c9a completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.