Triple

T15249544
Position Surface form Disambiguated ID Type / Status
Subject Bundi E364480 entity
Predicate locatedIn P40 FINISHED
Object Aravalli hill region E31788 NE 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: Aravalli hill region | Statement: [Bundi, locatedIn, Aravalli hill region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aravalli hill region
Context triple: [Bundi, locatedIn, Aravalli hill region]
  • A. Aravalli Range chosen
    The Aravalli Range is an ancient mountain range in northwestern India that stretches across Rajasthan, Haryana, and Delhi, influencing regional climate and ecology.
  • B. Aravali
    Aravali is a village located in Vengurla taluka in the Sindhudurg district of Maharashtra, India.
  • C. Vindhya Range
    The Vindhya Range is a complex system of hills and highlands in central India that forms a natural divide between northern and southern India.
  • D. Shivalik Hills
    Shivalik Hills are the outermost foothills of the Himalayas, stretching across northern India and known for their rich biodiversity and forested landscapes.
  • E. Bundelkhand plateau
    The Bundelkhand plateau is a rugged, semi-arid region of central India known for its rocky terrain, historical forts, and recurrent droughts spanning parts of Uttar Pradesh and Madhya Pradesh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f62b9c8190b9ad40e2d1912b63 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd4ac4e48190b011b34cb5205b68 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.