Triple

T301586
Position Surface form Disambiguated ID Type / Status
Subject Tuareg E6207 entity
Predicate ethnicGroupOf P1898 FINISHED
Object Sahara Desert E10378 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: Sahara Desert | Statement: [Tuareg, ethnicGroupOf, Sahara Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahara Desert
Context triple: [Tuareg, ethnicGroupOf, Sahara Desert]
  • A. Sahara Desert chosen
    The Sahara Desert is the world’s largest hot desert, spanning much of North Africa with vast sand seas, rocky plateaus, and extreme arid conditions.
  • B. Arabian Desert
    The Arabian Desert is a vast arid region spanning much of the Arabian Peninsula, known for its extreme climate, expansive sand dunes, and significant oil-rich subsoil.
  • C. Namib Desert
    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.
  • D. Central Sahara
    The Central Sahara is a vast, arid desert region in north-central Africa characterized by extreme climatic conditions, sparse population, and a long history of trans-Saharan trade and nomadic cultures.
  • E. 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.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3bc2353408190b7658595498895bb completed March 1, 2026, 4:10 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.