Triple

T21682069
Position Surface form Disambiguated ID Type / Status
Subject Tus, Iran E535132 entity
Predicate historicalRegion P915 FINISHED
Object Khorasan NE NERFINISHED

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: Khorasan | Statement: [Tus, Iran, historicalRegion, Khorasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khorasan
Context triple: [Tus, Iran, historicalRegion, Khorasan]
  • A. Khorasan chosen
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • B. Khurashan
    Khurashan was a Georgian noblewoman known primarily as the wife of King Levan of Kakheti in the 16th century.
  • C. Sistan
    Sistan is a historical and geographical region in southeastern Iran and southwestern Afghanistan, known for its arid climate, ancient civilizations, and strategic location along historic trade routes.
  • D. Transoxiana
    Transoxiana is a historic region of Central Asia, centered between the Amu Darya and Syr Darya rivers, that served as a major cultural and commercial crossroads along the Silk Road.
  • E. Fars
    Fars is a historic province in southwestern Iran regarded as the cultural heartland of the Persian people and the birthplace of the Persian language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96c69990819088a1134ecea09099 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:43 p.m.