Triple

T3662996
Position Surface form Disambiguated ID Type / Status
Subject Thar and Parkar District E77693 entity
Predicate locatedIn P40 FINISHED
Object Thar Desert E5064 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: Thar Desert | Statement: [Thar and Parkar District, locatedIn, Thar Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thar Desert
Context triple: [Thar and Parkar District, locatedIn, Thar Desert]
  • A. Thar Desert chosen
    The Thar Desert is a vast arid region in northwestern India and eastern Pakistan, known for its sand dunes, extreme climate, and sparse vegetation.
  • B. Nefud Desert
    The Nefud Desert is a vast, crescent-shaped sand desert in northern Saudi Arabia known for its towering dunes and harsh, arid climate.
  • C. Błędów Desert
    Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
  • D. Aralkum Desert
    The Aralkum Desert is a man-made desert that formed on the former seabed of the rapidly shrinking Aral Sea in Central Asia.
  • E. Chagai Desert
    The Chagai Desert is an arid region in western Balochistan, Pakistan, known for its harsh landscape and sparse population.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fcd910819082012b10b23860aa completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48846af9881909d71d63b8bd8d141 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.