Triple

T6616094
Position Surface form Disambiguated ID Type / Status
Subject Kampuchean Revolutionary Army E149354 entity
Predicate alsoKnownAs P39 FINISHED
Object RAK
RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
 E599847 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: RAK | Statement: [Kampuchean Revolutionary Army, alsoKnownAs, RAK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RAK
Context triple: [Kampuchean Revolutionary Army, alsoKnownAs, RAK]
  • A. RAK
    RAK is the IATA airport code for Marrakesh Menara Airport, the main international gateway serving the city of Marrakesh in Morocco.
  • B. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • C. Rakah
    Rakah was an Israeli communist political party known for its strong opposition to Zionism and close alignment with the Soviet Union during the Cold War.
  • D. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • E. 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.
  • 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: RAK
Triple: [Kampuchean Revolutionary Army, alsoKnownAs, RAK]
Generated description
RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RAK
Target entity description: RAK is the armed wing of the Khmer Rouge regime in Cambodia, formally known as the Kampuchean Revolutionary Army.
  • A. RAK
    RAK is the IATA airport code for Marrakesh Menara Airport, the main international gateway serving the city of Marrakesh in Morocco.
  • B. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • C. Rakah
    Rakah was an Israeli communist political party known for its strong opposition to Zionism and close alignment with the Soviet Union during the Cold War.
  • D. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • E. 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.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af57fd748190bb64f1965bab319f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbda469481908173db345ba2f216 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd428b988190b01311ca02f4dff3 completed March 27, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdcc10c08190aa98212bd17063a3 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:57 p.m.