Triple

T2830012
Position Surface form Disambiguated ID Type / Status
Subject Afro-Surinamese E62212 entity
Predicate subgroup P10 FINISHED
Object Paramaka
Paramaka are a Maroon community in Suriname descended from escaped African slaves, known for their distinct Afro-Surinamese culture and traditions.
 E301299 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: Paramaka | Statement: [Afro-Surinamese, subgroup, Paramaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paramaka
Context triple: [Afro-Surinamese, subgroup, Paramaka]
  • A. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • B. Gudakesha
    Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
  • 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. Saartha
    Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
  • E. Yama
    Yama is the Hindu god of death and justice, traditionally regarded as the ruler of the afterlife and judge of the souls of the dead.
  • 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: Paramaka
Triple: [Afro-Surinamese, subgroup, Paramaka]
Generated description
Paramaka are a Maroon community in Suriname descended from escaped African slaves, known for their distinct Afro-Surinamese culture and traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paramaka
Target entity description: Paramaka are a Maroon community in Suriname descended from escaped African slaves, known for their distinct Afro-Surinamese culture and traditions.
  • A. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • B. Gudakesha
    Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
  • 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. Saartha
    Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
  • E. Yama
    Yama is the Hindu god of death and justice, traditionally regarded as the ruler of the afterlife and judge of the souls of the dead.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebbde4881908dfa78e28c7018e0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb4f3ec8190987afb7a2ac302e2 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf46a4e88190907ca735a1745c79 completed March 10, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69afcff778748190978e7d306e0d1ce1 completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 10:01 p.m.