Triple

T8600704
Position Surface form Disambiguated ID Type / Status
Subject Tamasheq E203666 entity
Predicate spokenIn P2266 FINISHED
Object central Sahara E39477 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: central Sahara | Statement: [Tamasheq, spokenIn, central Sahara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Sahara
Context triple: [Tamasheq, spokenIn, central Sahara]
  • A. Central Sahara chosen
    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.
  • B. Northern Sahara
    The Northern Sahara is the vast arid expanse forming the northern portion of the Sahara Desert, encompassing regions such as the M’zab in Algeria and characterized by rocky plateaus, sand seas, and oases.
  • C. Sahara
    "Sahara" is a 2005 action-adventure film based on Clive Cussler's novel, following treasure hunters on a perilous quest in the African desert.
  • D. Sahara
    Sahara is an OpenStack data processing service that provisions and manages Hadoop and other big data clusters on cloud infrastructure.
  • E. Nubian Desert
    The Nubian Desert is a hyper-arid region of the eastern Sahara in northeastern Sudan and northern Eritrea, characterized by rocky plateaus, sand dunes, and sparse vegetation along the Nile.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc839cdc819093c3cd0e44f173a2 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:24 p.m.