Triple

T3663027
Position Surface form Disambiguated ID Type / Status
Subject Thar and Parkar District E77693 entity
Predicate colonialCategory P42435 FINISHED
Object non-regulation district 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: non-regulation district | Statement: [Thar and Parkar District, colonialCategory, non-regulation district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: colonialCategory
Context triple: [Thar and Parkar District, colonialCategory, non-regulation district]
  • A. colonialLegacy
    Indicates the enduring influence or consequences of a past colonial relationship that continue to shape interactions or conditions between entities.
  • B. colonialDesignation chosen
    Indicates that one entity assigns or holds a status, name, or classification for another entity within a colonial or colonially imposed framework.
  • C. colonialOffshoot
    Indicates that one entity originated as a colony or derivative settlement established by another entity.
  • D. hasColonialHistoryWith
    Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
  • E. colonialExpansion
    Indicates the process by which one power extends its control, influence, or settlement into foreign territories, often subordinating existing populations or polities.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fcd910819082012b10b23860aa completed March 8, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69adb847e9d881909dad2ffd0f3b6c15 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:25 p.m.