Triple

T3835211
Position Surface form Disambiguated ID Type / Status
Subject Ad Dahna Desert E91113 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Ad-Dahna Desert E91113 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: Ad-Dahna Desert | Statement: [Ad Dahna Desert, hasAlternativeTransliteration, Ad-Dahna Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ad-Dahna Desert
Context triple: [Ad Dahna Desert, hasAlternativeTransliteration, Ad-Dahna Desert]
  • A. Ad Dahna Desert chosen
    Ad Dahna Desert is a long, narrow corridor of reddish sand dunes in central Saudi Arabia that links the Nafud Desert in the north with the Rub' al Khali in the south.
  • 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. Nitrian Desert
    The Nitrian Desert is a desert region in northwestern Egypt historically known as a center of early Christian monasticism and ascetic communities.
  • D. Błędów Desert
    Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
  • E. 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.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9a27508190b05e5312cc7c8033 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fe2a3dc8190bf216d6f43439e58 completed March 14, 2026, 11 a.m.
Created at: March 9, 2026, 3:18 p.m.