Triple

T7264317
Position Surface form Disambiguated ID Type / Status
Subject Akebu language E159732 entity
Predicate hasAlternativeName P39 FINISHED
Object Kebu-Akebu
Kebu-Akebu is a Kwa language spoken primarily in Togo and Ghana by the Akebu people.
 E652511 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: Kebu-Akebu | Statement: [Akebu language, hasAlternativeName, Kebu-Akebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kebu-Akebu
Context triple: [Akebu language, hasAlternativeName, Kebu-Akebu]
  • A. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • B. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • C. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Aka-Bea
    Aka-Bea is an extinct Great Andamanese language once spoken by the indigenous Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • 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: Kebu-Akebu
Triple: [Akebu language, hasAlternativeName, Kebu-Akebu]
Generated description
Kebu-Akebu is a Kwa language spoken primarily in Togo and Ghana by the Akebu people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kebu-Akebu
Target entity description: Kebu-Akebu is a Kwa language spoken primarily in Togo and Ghana by the Akebu people.
  • A. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • B. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • C. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Aka-Bea
    Aka-Bea is an extinct Great Andamanese language once spoken by the indigenous Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae50e008190a660925074077344 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3c7754481908ff7cc0fc6419599 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d5c7c3a48190b8d1b5e351ebfbd5 completed March 28, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_69c7d639f7f08190a360bd2899e6fef8 completed March 28, 2026, 1:23 p.m.
Created at: March 27, 2026, 2:57 p.m.