Triple

T6312617
Position Surface form Disambiguated ID Type / Status
Subject Farafra Oasis E141540 entity
Predicate near P350 FINISHED
Object White Desert E578318 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: White Desert | Statement: [Farafra Oasis, near, White Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Desert
Context triple: [Farafra Oasis, near, White Desert]
  • A. White Desert chosen
    White Desert is a striking desert region in Egypt famed for its surreal white chalk rock formations and otherworldly landscapes.
  • B. The Desert
    "The Desert" is a luminous 19th-century landscape painting by American artist Sanford Robinson Gifford, exemplifying the Hudson River School’s atmospheric treatment of light and expansive natural vistas.
  • C. Deadly Desert
    The Deadly Desert is a vast, impassable wasteland of lethal sands that isolates the magical Land of Oz from the surrounding world in L. Frank Baum’s Oz series.
  • D. Sea of Sand
    The Sea of Sand is a vast, otherworldly volcanic sand plain surrounding Mount Bromo in East Java, Indonesia, renowned for its stark, lunar-like landscape.
  • E. Vecekrugas Dune
    Vecekrugas Dune is a prominent sand dune and scenic viewpoint on the Curonian Spit, known for its sweeping coastal landscapes and hiking trails.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0649ea98c819086509e175812c6c0 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e469355c81908049e0c68a8c0259 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:28 p.m.