Triple

T322837
Position Surface form Disambiguated ID Type / Status
Subject Khmer E6451 entity
Predicate hasDialects P4251 FINISHED
Object Cardamom Khmer
Cardamom Khmer is a regional variety of the Khmer language spoken by communities in the Cardamom Mountains region of Cambodia.
 E6451 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: Cardamom Khmer | Statement: [Khmer, hasDialects, Cardamom Khmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cardamom Khmer
Context triple: [Khmer, hasDialects, Cardamom Khmer]
  • A. Prey Nokor
    Prey Nokor was a historic Khmer port city that later developed into the Vietnamese metropolis now known as Ho Chi Minh City (formerly Saigon).
  • B. Khmer
    Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
  • C. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • D. Kassaman
    Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
  • E. Mon-Khmer
    Mon-Khmer is a major branch of the Austroasiatic language family that includes numerous languages spoken across mainland Southeast Asia and parts of South Asia.
  • 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: Cardamom Khmer
Triple: [Khmer, hasDialects, Cardamom Khmer]
Generated description
Cardamom Khmer is a regional variety of the Khmer language spoken by communities in the Cardamom Mountains region of Cambodia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cardamom Khmer
Target entity description: Cardamom Khmer is a regional variety of the Khmer language spoken by communities in the Cardamom Mountains region of Cambodia.
  • A. Prey Nokor
    Prey Nokor was a historic Khmer port city that later developed into the Vietnamese metropolis now known as Ho Chi Minh City (formerly Saigon).
  • B. Khmer chosen
    Khmer is the Austroasiatic language spoken primarily in Cambodia, where it serves as the official and most widely used national language.
  • C. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • D. Kassaman
    Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
  • E. Mon-Khmer
    Mon-Khmer is a major branch of the Austroasiatic language family that includes numerous languages spoken across mainland Southeast Asia and parts of South Asia.
  • F. None of above.

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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea82ba748190bae651f5de908617 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe9c66c8190957b2ab7f5bae6fd completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d07284288190bfe67602562ec0b5 completed March 1, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_69a3d0fb4a88819096823bed2d1a65e3 completed March 1, 2026, 5:39 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.