Triple

T19813422
Position Surface form Disambiguated ID Type / Status
Subject T. R. Baalu E476001 entity
Predicate sector of ministerial work P40612 FINISHED
Object environment and forests 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: environment and forests | Statement: [T. R. Baalu, sector of ministerial work, environment and forests]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sector of ministerial work
Context triple: [T. R. Baalu, sector of ministerial work, environment and forests]
  • A. scopeOfMinistry chosen
    Indicates the range of responsibilities, activities, or areas of authority covered by a particular ministry or ministerial role.
  • B. typeOfMinistry
    Indicates the specific category or kind of ministry that an entity belongs to or represents.
  • C. methodOfMinistry
    Indicates the specific way or approach through which ministry or religious service is carried out.
  • D. ministerialDepartmentOf
    Indicates that one entity is a ministerial department that is formally part of, and subordinate to, another governing body or jurisdiction.
  • E. roleInMinistry
    Indicates that an entity holds or has held a specific position or function within a particular ministry or governmental department.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542d7c048190818359cbf430f50e completed April 20, 2026, 4:28 p.m.
PD Predicate disambiguation batch_69e5305858108190bbbfdb9ba3ab9f80 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:50 p.m.