Triple

T8194195
Position Surface form Disambiguated ID Type / Status
Subject Köppen BWh E191385 entity
Predicate occursIn 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: [Köppen BWh, occursIn, Thar Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thar Desert
Context triple: [Köppen BWh, occursIn, 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. Murzuq Desert
    The Murzuq Desert is a vast, remote sand desert in southwestern Libya, known for its towering dunes, extreme aridity, and sparse human habitation.
  • C. Siloli Desert
    The Siloli Desert is a remote, high-altitude desert in southwestern Bolivia, known for its stark rock formations, sparse vegetation, and otherworldly landscapes within the Andean plateau.
  • D. 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.
  • E. Katpana Desert
    Katpana Desert is a high-altitude cold desert near Skardu in Pakistan’s Gilgit-Baltistan region, known for its striking sand dunes set against snow-capped mountains.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c1f02248190adbe56a7d6be3419 completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cea7e73fd481908d3b788a26e62367 completed April 2, 2026, 5:31 p.m.
Created at: March 30, 2026, 5:42 p.m.