Triple

T6989823
Position Surface form Disambiguated ID Type / Status
Subject COMESSA E162056 entity
Predicate regionServed P82 FINISHED
Object Sahara 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 | Statement: [COMESSA, regionServed, Sahara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahara
Context triple: [COMESSA, regionServed, Sahara]
  • A. 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.
  • B. 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.
  • C. Libyan Desert
    The Libyan Desert is a harsh, arid expanse in the eastern Sahara, spanning parts of Libya and neighboring countries and characterized by vast sand seas, rocky plateaus, and extreme climatic conditions.
  • D. 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.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbbee0e881909f78370856594cd6 completed March 27, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761d3f07081908892cdcac8e0917c completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:32 p.m.