Triple

T11075506
Position Surface form Disambiguated ID Type / Status
Subject University of Central Asia E261854 entity
Predicate hasCampusIn P4623 FINISHED
Object Khorog E887609 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: Khorog | Statement: [University of Central Asia, hasCampusIn, Khorog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khorog
Context triple: [University of Central Asia, hasCampusIn, Khorog]
  • A. Khorog chosen
    Khorog is a remote mountain town in eastern Tajikistan that serves as the capital of the Gorno-Badakhshan Autonomous Region and a key hub in the Pamir Mountains.
  • B. Khujand
    Khujand is one of the oldest cities in Central Asia, a major urban center in northern Tajikistan known historically as a Silk Road hub on the Syr Darya River.
  • C. Tashkurgan
    Tashkurgan is a remote town in China’s Xinjiang region, inhabited mainly by Tajik people and known as a key stop on the Karakoram Highway near the Pakistan border.
  • D. Kokand
    Kokand is a historic city in the Fergana Valley of present-day Uzbekistan that served as a major political, cultural, and trading center in Central Asia.
  • E. Bazar-Korgon
    Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994efb608190a81bc8c4d16ddbd0 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8cc77988190aad54f56dbd0f8cf completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:26 p.m.