Triple

T1040485
Position Surface form Disambiguated ID Type / Status
Subject Ossetian language E22457 entity
Predicate historicalRegion P915 FINISHED
Object Alania E103023 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: Alania | Statement: [Ossetian language, historicalRegion, Alania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alania
Context triple: [Ossetian language, historicalRegion, Alania]
  • A. Scythia
    Scythia was an ancient region of Eurasia inhabited by nomadic Iranian-speaking peoples known for their horse culture, warfare, and influence across the Eurasian steppe.
  • B. Derbion
    Derbion is a major retail and leisure shopping centre located in the city centre of Derby, England.
  • C. Ossetia chosen
    Ossetia is a historical and cultural region in the central Caucasus, divided between Russia and Georgia, known as the homeland of the Ossetian people.
  • D. Colchis
    Colchis was an ancient region on the eastern coast of the Black Sea, famed in Greek mythology as the destination of Jason and the Argonauts and the land of the Golden Fleece.
  • E. North Ossetia
    North Ossetia is a republic in the North Caucasus region of Russia, known for its mountainous terrain, diverse ethnic composition, and strategic location along historic trade and migration routes.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82e4d2c81909ca1264852baf04d completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea00134819093161cb9a38ee2b9 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:41 p.m.