Triple

T11827498
Position Surface form Disambiguated ID Type / Status
Subject Senufo languages E281293 entity
Predicate hasMember P10 FINISHED
Object Palaka language
The Palaka language is a Senufo language spoken in parts of West Africa, primarily in Ivory Coast, by the Palaka people.
E949732 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: Palaka language | Statement: [Senufo languages, hasMember, Palaka language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palaka language
Context triple: [Senufo languages, hasMember, Palaka language]
  • A. Palikur language
    The Palikur language is an indigenous Arawakan language spoken by the Palikur people of northeastern Amazonia, primarily in Brazil and French Guiana.
  • B. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • C. Patelia language
    The Patelia language is a regional Indo-Aryan tribal language variety associated with the Bhil communities of western India.
  • D. Jakaltek language
    The Jakaltek language is a Mayan language spoken primarily by the Jakaltek (Popti’) people of northwestern Guatemala and parts of southern Mexico.
  • E. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • 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: Palaka language
Triple: [Senufo languages, hasMember, Palaka language]
Generated description
The Palaka language is a Senufo language spoken in parts of West Africa, primarily in Ivory Coast, by the Palaka people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Palaka language
Target entity description: The Palaka language is a Senufo language spoken in parts of West Africa, primarily in Ivory Coast, by the Palaka people.
  • A. Palikur language
    The Palikur language is an indigenous Arawakan language spoken by the Palikur people of northeastern Amazonia, primarily in Brazil and French Guiana.
  • B. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • C. Patelia language
    The Patelia language is a regional Indo-Aryan tribal language variety associated with the Bhil communities of western India.
  • D. Jakaltek language
    The Jakaltek language is a Mayan language spoken primarily by the Jakaltek (Popti’) people of northwestern Guatemala and parts of southern Mexico.
  • E. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1671989f88190b8c1fb520435a25e completed April 29, 2026, 2:04 a.m.
NEDg Description generation batch_69f16e31ebfc81908255e24b96bf9a99 completed April 29, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69f1a09eae7481908200709ae9721d53 completed April 29, 2026, 6:09 a.m.
Created at: April 8, 2026, 9:43 p.m.