Triple

T6548421
Position Surface form Disambiguated ID Type / Status
Subject Pamaka language E151067 entity
Predicate hasAlternativeName P39 FINISHED
Object Pamaka
Pamaka is an Eastern Maroon Creole language spoken primarily by the Pamaka people in eastern Suriname and neighboring French Guiana.
 E604540 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: Pamaka | Statement: [Pamaka language, hasAlternativeName, Pamaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pamaka
Context triple: [Pamaka language, hasAlternativeName, Pamaka]
  • A. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • B. Pambujan
    Pambujan is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and natural landscapes.
  • C. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • D. Pampang
    Pampang is a barangay (village-level administrative division) within Angeles City in the province of Pampanga, Philippines.
  • E. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • 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: Pamaka
Triple: [Pamaka language, hasAlternativeName, Pamaka]
Generated description
Pamaka is an Eastern Maroon Creole language spoken primarily by the Pamaka people in eastern Suriname and neighboring French Guiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pamaka
Target entity description: Pamaka is an Eastern Maroon Creole language spoken primarily by the Pamaka people in eastern Suriname and neighboring French Guiana.
  • A. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • B. Pambujan
    Pambujan is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and natural landscapes.
  • C. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • D. Pampang
    Pampang is a barangay (village-level administrative division) within Angeles City in the province of Pampanga, Philippines.
  • E. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf132a88190af4553857a474ebd completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d54e11fc81909aa135d7c0f2c193 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d67574cc8190acf20c1a598c32ee completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d83b53e48190881a3e1e8fa8b168 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.