Triple

T10837249
Position Surface form Disambiguated ID Type / Status
Subject Berta E255792 entity
Predicate hasDialect P4251 FINISHED
Object Bambeshi
Bambeshi is a dialect of the Berta language spoken by communities in parts of Ethiopia and Sudan.
 E889289 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: Bambeshi | Statement: [Berta, hasDialect, Bambeshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bambeshi
Context triple: [Berta, hasDialect, Bambeshi]
  • A. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • B. Bichota
    "Bichota" is a hit reggaeton single by Colombian singer Karol G that became an empowerment anthem across Latin America and beyond.
  • C. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • D. Nuna
    Nuna is an alternative name historically used for the South American country of Colombia.
  • E. Bebé
    "Bebé" is a track from Ozuna’s hit reggaeton album "Odisea," known for its romantic, melodic style.
  • 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: Bambeshi
Triple: [Berta, hasDialect, Bambeshi]
Generated description
Bambeshi is a dialect of the Berta language spoken by communities in parts of Ethiopia and Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bambeshi
Target entity description: Bambeshi is a dialect of the Berta language spoken by communities in parts of Ethiopia and Sudan.
  • A. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • B. Bichota
    "Bichota" is a hit reggaeton single by Colombian singer Karol G that became an empowerment anthem across Latin America and beyond.
  • C. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • D. Nuna
    Nuna is an alternative name historically used for the South American country of Colombia.
  • E. Bebé
    "Bebé" is a track from Ozuna’s hit reggaeton album "Odisea," known for its romantic, melodic style.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.