Triple

T17952317
Position Surface form Disambiguated ID Type / Status
Subject Governor of Andhra Pradesh E448861 entity
Predicate removal P129872 FINISHED
Object serves at the pleasure of the President of India 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: serves at the pleasure of the President of India | Statement: [Governor of Andhra Pradesh, removal, serves at the pleasure of the President of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: removal
Context triple: [Governor of Andhra Pradesh, removal, serves at the pleasure of the President of India]
  • A. removalPartOf
    Indicates that one entity is a component or portion that has been taken away or extracted from another entity.
  • B. removalMechanism
    Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
  • C. removable
    Indicates that one entity can be detached, taken off, or separated from another without causing damage or permanent alteration.
  • D. removedOn
    Indicates that an entity was taken away, deleted, or detached at a specific point in time.
  • E. removalOnAdviceOf
    Indicates that one entity is removed or taken away as a result of guidance, recommendation, or instruction provided by 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afad61f481908b34cd24de88983c completed April 19, 2026, 10:34 a.m.
PD Predicate disambiguation batch_69e3f8f2bd088190b1e22ad4d9cc8b13 completed April 18, 2026, 9:34 p.m.
PDg Predicate description generation batch_69e42d8d68288190a05dc5d7803cf823 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 10:21 a.m.