Triple

T19793709
Position Surface form Disambiguated ID Type / Status
Subject Toktogul Reservoir E475483 entity
Predicate namedAfter P63 FINISHED
Object Toktogul town 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: Toktogul town | Statement: [Toktogul Reservoir, namedAfter, Toktogul town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toktogul town
Context triple: [Toktogul Reservoir, namedAfter, Toktogul town]
  • A. Toktogul town chosen
    Toktogul town is a settlement in Kyrgyzstan that serves as a local center near the major Toktogul Reservoir on the Naryn River.
  • B. Zhalantun
    Zhalantun is a county-level city in northeastern Inner Mongolia, China, known for its forests, grasslands, and role as an agricultural and forestry center.
  • C. Zalingei
    Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
  • D. Kharkhorin
    Kharkhorin is a town in central Mongolia located near the ruins of the ancient Mongol capital Karakorum and serves as a gateway to the historic Orkhon Valley.
  • E. Ulanqab
    Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c4a8a88190afc2f2cd1ebbbe1e completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.