Triple

T14787409
Position Surface form Disambiguated ID Type / Status
Subject Vayam Rakshamah E347563 entity
Predicate associatedOrganizationBranch P116110 FINISHED
Object maritime armed force 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: maritime armed force | Statement: [Vayam Rakshamah, associatedOrganizationBranch, maritime armed force]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedOrganizationBranch
Context triple: [Vayam Rakshamah, associatedOrganizationBranch, maritime armed force]
  • A. associatedOrganizationFullName
    Indicates that an entity is linked to an organization by specifying the organization’s complete, official name.
  • B. parentOrganization
    Indicates that one organization is the higher-level or owning entity in an organizational hierarchy relative to another organization.
  • C. endedOrganization
    Indicates that an organization has ceased to exist or operate, marking the termination of its existence or activities.
  • D. associatedOrgan
    Indicates that one entity has a relevant connection or linkage to a particular organ, such as anatomical, functional, or pathological association.
  • E. hasBranchOffice
    Indicates that one organization maintains a branch office or subsidiary location in another place or 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69de8c090d1081909b5a9bf437499d6c completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de90c5e3a08190868680b081308c1d completed April 14, 2026, 7:08 p.m.
Created at: April 10, 2026, 1:31 a.m.