Triple

T12760648
Position Surface form Disambiguated ID Type / Status
Subject Egypt–Libya border region E304983 entity
Predicate partOf P40 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: [Egypt–Libya border region, partOf, Sahara Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahara Desert
Context triple: [Egypt–Libya border region, partOf, 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. Sahara
    Sahara is an OpenStack data processing service that provisions and manages Hadoop and other big data clusters on cloud infrastructure.
  • 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 a landmark 1972 jazz album by pianist McCoy Tyner, acclaimed for its expansive compositions and innovative blend of modal jazz with African and Eastern influences.
  • E. 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.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb7e8448190a097d40ed8927285 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:28 p.m.