Triple

T11303160
Position Surface form Disambiguated ID Type / Status
Subject Lobi language E267645 entity
Predicate hasAlternativeName P39 FINISHED
Object Lobiri
Lobiri is a Gur language spoken primarily by the Lobi people in parts of Burkina Faso and Ghana.
 E916966 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: Lobiri | Statement: [Lobi language, hasAlternativeName, Lobiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lobiri
Context triple: [Lobi language, hasAlternativeName, Lobiri]
  • A. Libo
    Libo is an ancient Roman cognomen associated with members of the patrician Julii family.
  • B. Liboi
    Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
  • C. Lokosi
    Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
  • D. Lamboya
    Lamboya is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
  • E. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • 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: Lobiri
Triple: [Lobi language, hasAlternativeName, Lobiri]
Generated description
Lobiri is a Gur language spoken primarily by the Lobi people in parts of Burkina Faso and Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lobiri
Target entity description: Lobiri is a Gur language spoken primarily by the Lobi people in parts of Burkina Faso and Ghana.
  • A. Libo
    Libo is an ancient Roman cognomen associated with members of the patrician Julii family.
  • B. Liboi
    Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
  • C. Lokosi
    Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
  • D. Lamboya
    Lamboya is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
  • E. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a57366081908a05fc52c5d4074c completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510f9edb4819097e9fa1ce85504ed completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.