Triple

T14786296
Position Surface form Disambiguated ID Type / Status
Subject Sebat Bet Gurage E347533 entity
Predicate hasDialect P4251 FINISHED
Object Geto
Geto is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
E1119788 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: Geto | Statement: [Sebat Bet Gurage, hasDialect, Geto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geto
Context triple: [Sebat Bet Gurage, hasDialect, Geto]
  • A. Geto Boys
    Geto Boys are a pioneering Houston-based hip hop group known for their hardcore, politically charged lyrics and major influence on Southern rap.
  • B. Lojay
    Lojay is a Nigerian singer and songwriter known for his Afro-fusion sound and hit collaborations in contemporary Afrobeats.
  • C. Dadju
    Dadju is a French singer and songwriter known for his smooth blend of R&B and pop, as well as for being a former member of the duo The Shin Sekaï.
  • D. Ninzam
    Ninzam is a Plateau language of central Nigeria, spoken by a small ethnic community and known for its place within the Benue–Congo branch of the Niger-Congo language family.
  • E. G-One
    G-One is a music producer best known for working on the track "Safe + Sound."
  • 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: Geto
Triple: [Sebat Bet Gurage, hasDialect, Geto]
Generated description
Geto is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geto
Target entity description: Geto is a dialect of the Sebat Bet Gurage language spoken by the Gurage people in Ethiopia.
  • A. Geto Boys
    Geto Boys are a pioneering Houston-based hip hop group known for their hardcore, politically charged lyrics and major influence on Southern rap.
  • B. Lojay
    Lojay is a Nigerian singer and songwriter known for his Afro-fusion sound and hit collaborations in contemporary Afrobeats.
  • C. Dadju
    Dadju is a French singer and songwriter known for his smooth blend of R&B and pop, as well as for being a former member of the duo The Shin Sekaï.
  • D. Ninzam
    Ninzam is a Plateau language of central Nigeria, spoken by a small ethnic community and known for its place within the Benue–Congo branch of the Niger-Congo language family.
  • E. G-One
    G-One is a music producer best known for working on the track "Safe + Sound."
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe266a05308190b9f6adba3e635e2f completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26f8fb7881909892c381b16fc80a completed May 8, 2026, 6:10 p.m.
Created at: April 10, 2026, 1:31 a.m.