Triple

T36511887
Position Surface form Disambiguated ID Type / Status
Subject E. S. L. Narasimhan E899928 entity
Predicate successorAsGovernorOfTelangana P196105 FINISHED
Object Tamilisai Soundararajan NE NERFINISHED

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: Tamilisai Soundararajan | Statement: [E. S. L. Narasimhan, successorAsGovernorOfTelangana, Tamilisai Soundararajan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorAsGovernorOfTelangana
Context triple: [E. S. L. Narasimhan, successorAsGovernorOfTelangana, Tamilisai Soundararajan]
  • A. predecessorAsGovernorOfTelangana chosen
    Indicates that one person previously held the office of Governor of Telangana immediately before another person.
  • B. predecessorAsGovernorOfAndhraPradesh
    Indicates that one entity previously held the position of Governor of Andhra Pradesh immediately before another entity.
  • C. officeAssumedAsGovernorOfTelangana
    Indicates the event or state in which an individual formally assumes the office of Governor of Telangana.
  • D. successorAsTreasurerOfTexas
    Indicates that one entity became the next treasurer of Texas after another entity.
  • E. officeAssumedAsGovernorOfAndhraPradesh
    Indicates that an entity has taken up or begun serving in the official role of Governor of Andhra Pradesh.
  • 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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a00781b749c8190921c46e110cae0b0 completed May 10, 2026, 12:20 p.m.
PD Predicate disambiguation batch_6a0077df3c8481909fabc9e84f5936e3 completed May 10, 2026, 12:19 p.m.
Created at: May 3, 2026, 4:10 p.m.