Triple

T9921772
Position Surface form Disambiguated ID Type / Status
Subject Rao Bika E187811 entity
Predicate associatedWith P37 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: [Rao Bika, associatedWith, Thar Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thar Desert
Context triple: [Rao Bika, associatedWith, 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. 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.
  • E. Lut Desert
    The Lut Desert is a vast, hyper-arid salt desert in southeastern Iran known for its extreme temperatures, unique wind-sculpted landforms, and status as one of the hottest places on Earth.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb56abbb88190a21b8b77f1a25b81 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d2e676c81909e4eed258ecdf053 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:42 p.m.