Triple

T10853215
Position Surface form Disambiguated ID Type / Status
Subject Chelkash E256202 entity
Predicate appearsIn P795 FINISHED
Object Chelkash E48193 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: Chelkash | Statement: [Chelkash, appearsIn, Chelkash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelkash
Context triple: [Chelkash, appearsIn, Chelkash]
  • A. Chelkash chosen
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • B. 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.
  • C. Kapchagay
    Kapchagay is a town in southeastern Kazakhstan known for its large reservoir on the Ili River and its role as a regional recreation and tourism center.
  • D. Saryagash
    Saryagash is a town in southern Kazakhstan known for its mineral springs and proximity to the Uzbek border.
  • E. 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.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154b2eb08819080a9905dbf378111 completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:20 p.m.