Triple

T21593133
Position Surface form Disambiguated ID Type / Status
Subject Kaptan Singh Solanki E532828 entity
Predicate officeContestedFor P108033 FINISHED
Object Rajya Sabha seat from Madhya Pradesh 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: Rajya Sabha seat from Madhya Pradesh | Statement: [Kaptan Singh Solanki, officeContestedFor, Rajya Sabha seat from Madhya Pradesh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeContestedFor
Context triple: [Kaptan Singh Solanki, officeContestedFor, Rajya Sabha seat from Madhya Pradesh]
  • A. officeContested
    Indicates that a particular office or position is being actively sought or challenged by multiple parties in an election or selection process.
  • B. officeContestedWith
    Indicates that two or more parties are competing or have competed for the same office or position.
  • C. officeContestedLevel
    Indicates the degree or intensity to which a particular office or position is being contested or competed for.
  • D. officeContestedHeldBy
    Indicates that a particular office or position that was contested in an election is currently held by a specified entity.
  • E. officeContestedJurisdiction chosen
    Indicates that a particular office or position is being sought or competed for within a specified legal or administrative jurisdiction.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadf6e608190b42b26ea22c76ec6 completed April 27, 2026, 5:57 a.m.
PD Predicate disambiguation batch_69e632109d048190b4ac3f14fe48d1a0 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:32 p.m.