Triple

T17369557
Position Surface form Disambiguated ID Type / Status
Subject Fairy Tale Canyon E422273 entity
Predicate nearbyCity P350 FINISHED
Object Karakol E262157 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: Karakol | Statement: [Fairy Tale Canyon, nearbyCity, Karakol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakol
Context triple: [Fairy Tale Canyon, nearbyCity, Karakol]
  • A. Karakol chosen
    Karakol is a town in eastern Kyrgyzstan near Lake Issyk-Kul, known as a gateway to the Tien Shan Mountains and a center for trekking and skiing.
  • B. Bazar-Korgon
    Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
  • C. Kochkor-Ata
    Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
  • D. Khinalug
    Khinalug is one of the oldest continuously inhabited mountain villages in the Caucasus, known for its unique language and remote location in the highlands of northern Azerbaijan.
  • E. Dastakert
    Dastakert is a small town in southern Armenia known for its mountainous setting and former mining industry.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02163f3c34819087f3a5d8c25a3c09 completed May 11, 2026, 5:47 p.m.
Created at: April 10, 2026, 5:44 a.m.