Triple

T10933342
Position Surface form Disambiguated ID Type / Status
Subject Balykchy E258263 entity
Predicate roadDistanceTo P7750 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: [Balykchy, roadDistanceTo, Karakol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakol
Context triple: [Balykchy, roadDistanceTo, 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. Tashkurgan Sarikoli
    Tashkurgan Sarikoli is an Eastern Iranian language spoken primarily by the Sarikoli people in the Tashkurgan region of Xinjiang, China.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ae073881909720febe9f5f296a completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d710f65c8190a4ef17a6d90a19d2 completed April 18, 2026, 12:57 a.m.
Created at: April 8, 2026, 9:23 p.m.