Triple

T15043410
Position Surface form Disambiguated ID Type / Status
Subject Mithi E379161 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: [Mithi, locatedIn, Thar Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thar Desert
Context triple: [Mithi, 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. Muyunkum Desert
    The Muyunkum Desert is an arid desert region in southern Kazakhstan characterized by sandy plains and sparse vegetation.
  • C. 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.
  • D. 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.
  • E. Cholistan Desert
    The Cholistan Desert is a vast arid region in southern Punjab, Pakistan, known for its harsh climate, nomadic culture, and historic desert forts such as Derawar Fort.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b96ae08190b15873634b67e8d9 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.