Triple

T10227731
Position Surface form Disambiguated ID Type / Status
Subject Russian Academy of Arts E243248 entity
Predicate shortName P43 FINISHED
Object RAKh
RAKh is the abbreviated name of the Russian Academy of Arts, a major state institution overseeing and promoting the visual arts in Russia.
 E851143 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: RAKh | Statement: [Russian Academy of Arts, shortName, RAKh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RAKh
Context triple: [Russian Academy of Arts, shortName, RAKh]
  • A. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • B. Rayak
    Rayak is a town in Lebanon known historically for its strategic railway junction and air base in the Bekaa Valley.
  • C. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • D. RAK
    RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
  • E. RAK
    RAK is the IATA airport code for Marrakesh Menara Airport, the main international gateway serving the city of Marrakesh in Morocco.
  • 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: RAKh
Triple: [Russian Academy of Arts, shortName, RAKh]
Generated description
RAKh is the abbreviated name of the Russian Academy of Arts, a major state institution overseeing and promoting the visual arts in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RAKh
Target entity description: RAKh is the abbreviated name of the Russian Academy of Arts, a major state institution overseeing and promoting the visual arts in Russia.
  • A. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • B. Rayak
    Rayak is a town in Lebanon known historically for its strategic railway junction and air base in the Bekaa Valley.
  • C. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • D. RAK
    RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
  • E. RAK
    RAK is the IATA airport code for Marrakesh Menara Airport, the main international gateway serving the city of Marrakesh in Morocco.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f72bc5388190a8337aa6a60ed51f completed April 9, 2026, 12:47 a.m.
NEDg Description generation batch_69d6fa2bb2ec8190aa099988a6c225eb completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd10dbc08190a297073e1b737566 completed April 9, 2026, 1:12 a.m.
Created at: April 6, 2026, 11:18 a.m.