Triple

T12158889
Position Surface form Disambiguated ID Type / Status
Subject Al-Zulfi E289651 entity
Predicate partOf P40 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: [Al-Zulfi, partOf, Najd region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najd region
Context triple: [Al-Zulfi, partOf, Najd region]
  • A. Khorezm Region
    Khorezm Region is an administrative region in northwestern Uzbekistan, historically part of the ancient Khwarezm civilization and centered around the city of Urgench.
  • B. 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.
  • C. Huliaipole region
    The Huliaipole region is a historical area in southeastern Ukraine best known as a center of the Makhnovist anarchist movement during the Ukrainian War of Independence.
  • D. Kurgan Oblast
    Kurgan Oblast is a federal subject of Russia located in the southern part of the Ural region, known for its agricultural economy and steppe landscapes.
  • E. 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.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a837a5881908c600be0be334269 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.