Triple

T16337823
Position Surface form Disambiguated ID Type / Status
Subject Lok (people) E396720 entity
Predicate usedInCompound P85414 FINISHED
Object Loktantra 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: Loktantra | Statement: [Lok (people), usedInCompound, Loktantra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInCompound
Context triple: [Lok (people), usedInCompound, Loktantra]
  • A. usedInCompoundNames chosen
    Indicates that one entity’s name is employed as a component within the compound name of another entity.
  • B. usedInStructure
    Indicates that something (such as a material, component, or element) is employed as part of the composition or construction of a larger structure.
  • C. usedInPartOf
    Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
  • D. usedInConcept
    Indicates that something (such as a method, idea, or component) is employed as part of, or plays a role within, a particular concept.
  • E. areUsedIn
    Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e6338081908aa03ee3dcbe5f70 completed April 17, 2026, 11:40 p.m.
PD Predicate disambiguation batch_69e226eba9b48190af6e80d3d1c2aed3 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:07 a.m.