Triple

T15945054
Position Surface form Disambiguated ID Type / Status
Subject Hamer E386662 entity
Predicate neighboringLanguages P16383 FINISHED
Object Banna
Banna is an Omotic language spoken by the Banna people of southwestern Ethiopia, closely related to other languages of the region.
E1185230 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: Banna | Statement: [Hamer, neighboringLanguages, Banna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banna
Context triple: [Hamer, neighboringLanguages, Banna]
  • A. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • B. Banika
    Banika is an island located near Mbanika in the Solomon Islands’ Russell Islands group, known for its role as part of a World War II military base area.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • E. Bani
    Bani is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, agricultural produce, and scenic rural landscapes.
  • 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: Banna
Triple: [Hamer, neighboringLanguages, Banna]
Generated description
Banna is an Omotic language spoken by the Banna people of southwestern Ethiopia, closely related to other languages of the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banna
Target entity description: Banna is an Omotic language spoken by the Banna people of southwestern Ethiopia, closely related to other languages of the region.
  • A. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • B. Banika
    Banika is an island located near Mbanika in the Solomon Islands’ Russell Islands group, known for its role as part of a World War II military base area.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • E. Bani
    Bani is a coastal municipality in the province of Pangasinan in the Philippines, known for its beaches, agricultural produce, and scenic rural landscapes.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:53 a.m.