Triple

T29888330
Position Surface form Disambiguated ID Type / Status
Subject Estação Ecológica E759075 entity
Predicate possibleManagers P173740 FINISHED
Object federal government 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: federal government | Statement: [Estação Ecológica, possibleManagers, federal government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: possibleManagers
Context triple: [Estação Ecológica, possibleManagers, federal government]
  • A. managerFrom
    Indicates that one entity serves as a manager originating from, or associated with, a specified source such as an organization, location, or department.
  • B. hasDomesticManagers
    Indicates that an entity has managers responsible for overseeing its operations within its own country or domestic context.
  • C. foundingManager
    Indicates that an entity serves as the original or initial manager responsible for establishing or setting up another entity (such as an organization, project, or initiative).
  • D. activeAsManager
    Indicates that an entity currently holds and performs the role or responsibilities of a manager in relation to another entity.
  • E. basedInAsManager
    Indicates that an entity serves in the role of manager at, or is professionally based as a manager in, a particular organization or location.
  • 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_69f2245de2f48190a481404896b56254 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6b9a84ff88190ab5a71f7ef1e0dac completed May 3, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
PDg Predicate description generation batch_69f6b8fe147881908ba17483c7b13f05 completed May 3, 2026, 2:54 a.m.
Created at: April 29, 2026, 6:01 p.m.