Triple

T9542493
Position Surface form Disambiguated ID Type / Status
Subject Ersari E230190 entity
Predicate culturalRegion P1968 FINISHED
Object Transoxiana E230688 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: Transoxiana | Statement: [Ersari, culturalRegion, Transoxiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transoxiana
Context triple: [Ersari, culturalRegion, Transoxiana]
  • A. Transoxiana chosen
    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.
  • B. Transcaspia
    Transcaspia was a historical region in Central Asia, largely corresponding to modern-day Turkmenistan, that lay east of the Caspian Sea and was once part of the Russian Empire.
  • C. Khorasan
    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.
  • D. Hashtgerd
    Hashtgerd is a city in northern Iran that serves as an important urban center and gateway within Alborz Province, located west of Tehran.
  • E. Sogdia
    Sogdia was an ancient Iranian-speaking region in Central Asia, renowned as a key hub of trade and culture along the Silk Road.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f60aa508190b3966f4b917c41b5 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:01 p.m.