Triple

T19600356
Position Surface form Disambiguated ID Type / Status
Subject Politics of Maharashtra E470453 entity
Predicate keyPoliticalIssue P25878 FINISHED
Object agrarian distress 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: agrarian distress | Statement: [Politics of Maharashtra, keyPoliticalIssue, agrarian distress]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyPoliticalIssue
Context triple: [Politics of Maharashtra, keyPoliticalIssue, agrarian distress]
  • A. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • B. politicalIssueFor chosen
    Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
  • C. currentPoliticalTrend
    Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
  • D. politicalTheme
    Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
  • E. keyFigureInDebate
    Indicates that an entity plays a central, influential, or prominently recognized role in a particular debate or controversy.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407df98c8190b258ac3b690fe4b1 completed April 20, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.