Triple

T8476619
Position Surface form Disambiguated ID Type / Status
Subject Lake Afrera E200408 entity
Predicate partOf P40 FINISHED
Object Danakil Desert landscape E38212 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: Danakil Desert landscape | Statement: [Lake Afrera, partOf, Danakil Desert landscape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danakil Desert landscape
Context triple: [Lake Afrera, partOf, Danakil Desert landscape]
  • A. Danakil Desert chosen
    The Danakil Desert is an extremely hot, arid region in northeastern Ethiopia and Eritrea, known for its salt flats, active volcanoes, and otherworldly geothermal landscapes.
  • B. Dasht-e Lut
    Dasht-e Lut is a vast desert in southeastern Iran known as one of the hottest and driest places on Earth.
  • C. Pumice Desert
    Pumice Desert is a barren, pumice-covered plateau within Crater Lake National Park in Oregon, known for its extremely sparse vegetation and volcanic ash deposits from Mount Mazama’s eruption.
  • D. Tengger Desert
    The Tengger Desert is a vast arid region in north-central China known for its extensive sand dunes and harsh continental climate.
  • E. Qattara Depression
    The Qattara Depression is a vast, arid basin in northwestern Egypt known for being one of the lowest and most inhospitable natural landscapes in Africa.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51e21548190811e3c7ba7b196e5 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a196ad48190b3887a2a0c43f87f completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:12 p.m.