Triple

T5739307
Position Surface form Disambiguated ID Type / Status
Subject Indian Forest Service Examination E126574 entity
Predicate selectionStages P126 FINISHED
Object preliminary examination 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: preliminary examination | Statement: [Indian Forest Service Examination, selectionStages, preliminary examination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: selectionStages
Context triple: [Indian Forest Service Examination, selectionStages, preliminary examination]
  • A. stages
    Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
  • B. selectionProcess chosen
    Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
  • C. selectionCriteria
    Indicates the conditions or rules used to choose certain entities from a larger set.
  • D. optionalStage
    Indicates that a particular stage in a process, workflow, or sequence is not mandatory and may be included or skipped without invalidating the overall structure.
  • E. selectionFrom
    Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255dc35c8190ab9ee5d269ce553a completed March 22, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69c021c8195481909419808b002628aa completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:48 p.m.