Triple

T1437538
Position Surface form Disambiguated ID Type / Status
Subject Bodo language E30589 entity
Predicate usedInAdministration P1248 FINISHED
Object local administration in Bodo-majority areas 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: local administration in Bodo-majority areas | Statement: [Bodo language, usedInAdministration, local administration in Bodo-majority areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInAdministration
Context triple: [Bodo language, usedInAdministration, local administration in Bodo-majority areas]
  • A. areUsedIn
    Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
  • B. administeredIn
    Indicates that an action, treatment, or process is carried out or applied within a specific location, context, or jurisdiction.
  • C. usedInDomain chosen
    Indicates that something (such as a concept, method, or resource) is applied or utilized within a particular domain or field.
  • D. coversAdministration
    Indicates that one entity is responsible for managing, overseeing, or handling the administrative aspects of another entity or activity.
  • E. administeredWith
    Indicates that two or more treatments, drugs, or interventions are given to a patient at the same time or as part of the same therapeutic regimen.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5ff8dbc81909eafcfc9f2260a22 completed March 1, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69a4c478f65481909ee716791c663491 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.