Triple

T36525370
Position Surface form Disambiguated ID Type / Status
Subject Kirpal Sagar E900286 entity
Predicate usesAgriculturalLandFor P132788 FINISHED
Object supporting charitable activities 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: supporting charitable activities | Statement: [Kirpal Sagar, usesAgriculturalLandFor, supporting charitable activities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAgriculturalLandFor
Context triple: [Kirpal Sagar, usesAgriculturalLandFor, supporting charitable activities]
  • A. usedAgriculture
    Indicates that an entity employed agricultural methods, practices, or resources for cultivation, production, or related purposes.
  • B. hasAgriculturalCharacter
    Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
  • C. agricultureUse
    Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
  • D. landUsedFor chosen
    Indicates that a particular area of land is utilized or designated for a specific purpose or activity.
  • E. hasAgriculturalType
    Indicates that an entity is associated with or classified by a specific type or category of agriculture.
  • 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_69f76e5eedb88190a393b8c623f71dd7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c477a4d481908f52e55b6688f60c completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:11 p.m.