Triple

T15383636
Position Surface form Disambiguated ID Type / Status
Subject Toad Town E367864 entity
Predicate connectedLocation P68239 FINISHED
Object Dry Dry Desert E370321 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: Dry Dry Desert | Statement: [Toad Town, connectedLocation, Dry Dry Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dry Dry Desert
Context triple: [Toad Town, connectedLocation, Dry Dry Desert]
  • A. Dry Dry Desert chosen
    Dry Dry Desert is a sandy, hazard-filled race course set in an arid desert environment featured in the Mario Kart series.
  • B. Deserts
    Deserts is an episode of the BBC nature documentary series Planet Earth II that explores the wildlife and survival strategies found in some of the world’s harshest arid environments.
  • 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. Dahna Desert
    The Dahna Desert is a vast, arid sand desert in central Saudi Arabia known for its long, narrow belt of reddish dunes linking the Nafud Desert in the north with the Rub' al Khali in the south.
  • E. Muyunkum Desert
    The Muyunkum Desert is an arid desert region in southern Kazakhstan characterized by sandy plains 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7397188190bde42b897ab4b5b4 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5bc43c81908ffdb7819e3660d9 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.