Triple

T10232129
Position Surface form Disambiguated ID Type / Status
Subject Desert Dome E243367 entity
Predicate hasSection P35 FINISHED
Object Namib Desert E14396 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: Namib Desert | Statement: [Desert Dome, hasSection, Namib Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namib Desert
Context triple: [Desert Dome, hasSection, Namib Desert]
  • A. Namib Desert chosen
    The Namib Desert is a vast, ancient coastal desert in southwestern Africa, renowned for its towering red sand dunes and extreme arid conditions along the Atlantic coast.
  • B. Bayuda Desert
    The Bayuda Desert is an arid, sparsely populated desert region in northern Sudan, bounded by a great bend of the Nile and known for its harsh terrain and historical caravan and military routes.
  • 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. Kalahari Desert
    The Kalahari Desert is a vast semi-arid sandy savanna in southern Africa known for its red dunes, sparse vegetation, and unique wildlife adapted to its dry conditions.
  • E. Kalimari Desert
    Kalimari Desert is a Wild West–themed racetrack in the Mario Kart series, characterized by its sandy terrain and a central railroad crossing with an active train obstacle.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20ae748819088176edb6f207a7f completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c9c6524819094d42e948c96207e completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:20 a.m.