Triple

T18736950
Position Surface form Disambiguated ID Type / Status
Subject Kresta Bay E458187 entity
Predicate hasSettlementOnShore P16159 FINISHED
Object Krasneno
Krasneno is a coastal settlement located on the shores of Kresta Bay in Russia’s Far East.
 E1340844 NE FINISHED

How this triple was built (4 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: Krasneno | Statement: [Kresta Bay, hasSettlementOnShore, Krasneno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krasneno
Context triple: [Kresta Bay, hasSettlementOnShore, Krasneno]
  • A. Krasny
    Krasny is a town situated along the Sozh River, known for its regional administrative and cultural significance.
  • B. Krasna
    Krasna is a surname most notably associated with American screenwriter, playwright, and film producer Norman Krasna.
  • C. Krasava
    Krasava is a character from Czech legend and literature associated with the tale of Princess Libuše and the early history of Bohemia.
  • D. Crvenka
    Crvenka is a small town in the Vojvodina region of northern Serbia, known historically for its food industry and sugar refinery.
  • E. Kras
    Kras is a karst limestone plateau region in southwestern Slovenia and northeastern Italy, renowned for its distinctive caves, sinkholes, and underground rivers that gave the term "karst" to geology.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Krasneno
Triple: [Kresta Bay, hasSettlementOnShore, Krasneno]
Generated description
Krasneno is a coastal settlement located on the shores of Kresta Bay in Russia’s Far East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krasneno
Target entity description: Krasneno is a coastal settlement located on the shores of Kresta Bay in Russia’s Far East.
  • A. Krasny
    Krasny is a town situated along the Sozh River, known for its regional administrative and cultural significance.
  • B. Krasna
    Krasna is a surname most notably associated with American screenwriter, playwright, and film producer Norman Krasna.
  • C. Krasava
    Krasava is a character from Czech legend and literature associated with the tale of Princess Libuše and the early history of Bohemia.
  • D. Crvenka
    Crvenka is a small town in the Vojvodina region of northern Serbia, known historically for its food industry and sugar refinery.
  • E. Kras
    Kras is a karst limestone plateau region in southwestern Slovenia and northeastern Italy, renowned for its distinctive caves, sinkholes, and underground rivers that gave the term "karst" to geology.
  • F. None of above. chosen

Provenance (5 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053261c074819081acb03dd7f8f62a completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a05369aa0488190b05cb5d1204db6d3 completed May 14, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a053766f7b48190b3b01ee99b22f57d completed May 14, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:51 a.m.