Triple

T105417
Position Surface form Disambiguated ID Type / Status
Subject Asia E2127 entity
Predicate containsDesert P1024 FINISHED
Object Arabian Desert E11663 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: Arabian Desert | Statement: [Asia, containsDesert, Arabian Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabian Desert
Context triple: [Asia, containsDesert, Arabian Desert]
  • A. Arabian Desert chosen
    The Arabian Desert is a vast arid region spanning much of the Arabian Peninsula, known for its extreme climate, expansive sand dunes, and significant oil-rich subsoil.
  • B. Sahara Desert
    The Sahara Desert is the world’s largest hot desert, spanning much of North Africa with vast sand seas, rocky plateaus, and extreme arid conditions.
  • C. Syrian Desert
    The Syrian Desert is a vast arid plateau spanning parts of Syria, Iraq, Jordan, and Saudi Arabia, forming a major portion of the northern Arabian Desert region.
  • D. Gobi Desert
    The Gobi Desert is a vast cold desert region in northern China and southern Mongolia, known for its harsh climate, sparse vegetation, and role as part of the historical Mongol Empire and Silk Road.
  • E. Thar Desert
    The Thar Desert is a vast arid region in northwestern India and eastern Pakistan, known for its sand dunes, extreme climate, and sparse vegetation.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a25b7e2c188190b1dd8aafd4507a99 completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2bf6620c88190bfc1c65b9942c98f completed Feb. 28, 2026, 10:11 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.