Triple

T3835206
Position Surface form Disambiguated ID Type / Status
Subject Ad Dahna Desert E91113 entity
Predicate separates P1175 FINISHED
Object Najd region E44274 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: Najd region | Statement: [Ad Dahna Desert, separates, Najd region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najd region
Context triple: [Ad Dahna Desert, separates, Najd region]
  • A. Najd chosen
    Najd is the central plateau region of Saudi Arabia, historically known as a heartland of Arab tribal culture and the birthplace of the modern Saudi state.
  • B. Geokchay Uyezd
    Geokchay Uyezd was an administrative district of the Russian Empire and early Soviet period located in the central part of present-day Azerbaijan.
  • C. Tsakhurs
    Tsakhurs are a Northeast Caucasian ethnic group traditionally inhabiting mountainous regions of present-day Azerbaijan and Dagestan, known for their distinct language and rich folk culture.
  • D. Dagestan
    Dagestan is a mountainous republic in the North Caucasus region of Russia, known for its ethnic diversity, complex history, and strategic location along the Caspian Sea.
  • E. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9a27508190b05e5312cc7c8033 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50402b2448190aef242c46bf0546d completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.