Triple

T16193607
Position Surface form Disambiguated ID Type / Status
Subject An Nafud E393003 entity
Predicate formsWith P6653 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: [An Nafud, formsWith, Ad Dahna Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ad Dahna Desert
Context triple: [An Nafud, formsWith, 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. 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. Hisma desert
    The Hisma Desert is a rugged desert region in southern Jordan and northwestern Saudi Arabia, known for its dramatic sandstone mountains, red sands, and ancient rock inscriptions.
  • 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. Błędów Desert
    Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d74d788190a637fdb9b4f184b9 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d9c35248190a5540a692503c989 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:02 a.m.