Triple

T6449915
Position Surface form Disambiguated ID Type / Status
Subject Ahir community E139835 entity
Predicate occupationalChange P71077 FINISHED
Object increasing participation in non-agricultural jobs 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: increasing participation in non-agricultural jobs | Statement: [Ahir community, occupationalChange, increasing participation in non-agricultural jobs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occupationalChange
Context triple: [Ahir community, occupationalChange, increasing participation in non-agricultural jobs]
  • A. careerImpact
    Indicates how one entity influences or changes another entity’s professional trajectory, opportunities, or outcomes.
  • B. businessCareer
    Indicates a relationship where an entity’s professional life, roles, or progression is specifically within the field of business or commerce.
  • C. resumedOccupation
    Indicates that an entity has returned to and continued a previous occupation or role after a period of interruption or absence.
  • D. earlierOccupation
    Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
  • E. managedCareerOf
    Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b2c7bc81908c683ec22cad9628 completed March 22, 2026, 10:14 p.m.
PD Predicate disambiguation batch_69c0673b44148190aed70084f0ff4992 completed March 22, 2026, 10:03 p.m.
PDg Predicate description generation batch_69c068cb3b888190812ed56f2fdd45ed completed March 22, 2026, 10:10 p.m.
Created at: March 22, 2026, 4:47 p.m.