Triple

T25683808
Position Surface form Disambiguated ID Type / Status
Subject Hada Chauhan Rajputs E644012 entity
Predicate geographicalConcentration P70368 FINISHED
Object southeastern Rajasthan 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: southeastern Rajasthan | Statement: [Hada Chauhan Rajputs, geographicalConcentration, southeastern Rajasthan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicalConcentration
Context triple: [Hada Chauhan Rajputs, geographicalConcentration, southeastern Rajasthan]
  • A. hasPopulationConcentrationIn chosen
    Indicates that a population is densely or significantly clustered within a specified geographic area or region.
  • B. populationConcentration
    Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
  • C. largestConcentrationIn
    Indicates that something has its highest density, amount, or presence within a specified location or group compared to all other locations or groups.
  • D. geographicalUsage
    Indicates that something is used, applied, or occurs within a particular geographic area or region.
  • E. geographicContext
    Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
  • 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_69e77e8046888190b07ffa58c7e2c37a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fb7b3d008190ab61ce5c33893540 completed May 2, 2026, 1:26 p.m.
PD Predicate disambiguation batch_69f5afec3e94819080d9ba86cf8c866e completed May 2, 2026, 8:03 a.m.
Created at: April 21, 2026, 8:05 p.m.