Triple

T2466801
Position Surface form Disambiguated ID Type / Status
Subject Adamawa–Ubangi languages E55269 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Laka language
Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
 E270016 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: Laka language | Statement: [Adamawa–Ubangi languages, hasNotableLanguage, Laka language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laka language
Context triple: [Adamawa–Ubangi languages, hasNotableLanguage, Laka language]
  • A. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. 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.
  • D. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
  • E. Apalaí language
    The Apalaí language is an indigenous Cariban language spoken by the Apalaí people of the Amazon region in 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: Laka language
Triple: [Adamawa–Ubangi languages, hasNotableLanguage, Laka language]
Generated description
Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laka language
Target entity description: Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • A. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. 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.
  • D. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
  • E. Apalaí language
    The Apalaí language is an indigenous Cariban language spoken by the Apalaí people of the Amazon region in 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd13310a8819095fd70672f933aa3 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179ccbd081908b7cff0052597e85 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1909dd588190b0311d0464ad4cda completed March 9, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_69af19e240148190be7645e1813e0bae completed March 9, 2026, 7:05 p.m.
Created at: March 6, 2026, 9:44 p.m.