Triple

T10361326
Position Surface form Disambiguated ID Type / Status
Subject Kam people E244139 entity
Predicate ethnonym P4709 FINISHED
Object Kam
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
 E858687 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: Kam | Statement: [Kam people, ethnonym, Kam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kam
Context triple: [Kam people, ethnonym, Kam]
  • A. KAM
    KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • B. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • C. Kaamatan
    Kaamatan is a traditional harvest festival celebrated in Sabah, Malaysia, particularly by the Kadazan-Dusun people, to give thanks for a bountiful rice harvest through rituals, cultural performances, and communal feasting.
  • D. Kaming
    Kaming is a town in Austria that is twinned as a sister city with Queenstown, New Zealand.
  • E. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • 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: Kam
Triple: [Kam people, ethnonym, Kam]
Generated description
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kam
Target entity description: Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
  • A. KAM
    KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • B. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • C. Kaamatan
    Kaamatan is a traditional harvest festival celebrated in Sabah, Malaysia, particularly by the Kadazan-Dusun people, to give thanks for a bountiful rice harvest through rituals, cultural performances, and communal feasting.
  • D. Kaming
    Kaming is a town in Austria that is twinned as a sister city with Queenstown, New Zealand.
  • E. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96209548190957368ee8c6a9ec3 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750bcf00081909b44ffa5df76aec1 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618ecb748190a492406eabe590d7 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77057affc8190b420e66560c3dfbd completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:59 a.m.