Triple

T12035599
Position Surface form Disambiguated ID Type / Status
Subject Eastern Nilotic languages E286529 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Lopit language
The Lopit language is a Nilo-Saharan language spoken by the Lopit people of South Sudan.
 E962144 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: Lopit language | Statement: [Eastern Nilotic languages, hasMemberLanguage, Lopit language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lopit language
Context triple: [Eastern Nilotic languages, hasMemberLanguage, Lopit language]
  • A. Leipon language
    The Leipon language is an Oceanic language spoken by the Manus people of Papua New Guinea, primarily on islands in the Admiralty group.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Haliti language
    The Haliti language, also known as Paresí, is an Arawakan indigenous language spoken by the Paresí (Haliti) people of Brazil’s Mato Grosso region.
  • D. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • 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: Lopit language
Triple: [Eastern Nilotic languages, hasMemberLanguage, Lopit language]
Generated description
The Lopit language is a Nilo-Saharan language spoken by the Lopit people of South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lopit language
Target entity description: The Lopit language is a Nilo-Saharan language spoken by the Lopit people of South Sudan.
  • A. Leipon language
    The Leipon language is an Oceanic language spoken by the Manus people of Papua New Guinea, primarily on islands in the Admiralty group.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Haliti language
    The Haliti language, also known as Paresí, is an Arawakan indigenous language spoken by the Paresí (Haliti) people of Brazil’s Mato Grosso region.
  • D. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90408cbf0819093270c9833ef149a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d7d453c8190a27c5feca8f38991 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d930714819080f92d223d930389 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564ed64008190bfbeaf0991a7c2b8 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.