Triple

T15944912
Position Surface form Disambiguated ID Type / Status
Subject Dawro E386659 entity
Predicate hasAlternativeName P39 FINISHED
Object Dawuro
Dawuro is an administrative zone in the South West Region of Ethiopia, inhabited primarily by the Dawuro people and known for its distinct language and culture.
 E1190136 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: Dawuro | Statement: [Dawro, hasAlternativeName, Dawuro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dawuro
Context triple: [Dawro, hasAlternativeName, Dawuro]
  • A. Takelsa
    Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
  • B. Wukro
    Wukro is a town in northern Ethiopia known for its historic rock-hewn churches and its location along the main road in the Tigray Region.
  • C. Kerebe
    Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
  • D. Guraru
    Guraru is a town in the Indian state of Bihar, known as a local settlement within the Gaya region.
  • E. Melesse
    Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
  • 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: Dawuro
Triple: [Dawro, hasAlternativeName, Dawuro]
Generated description
Dawuro is an administrative zone in the South West Region of Ethiopia, inhabited primarily by the Dawuro people and known for its distinct language and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dawuro
Target entity description: Dawuro is an administrative zone in the South West Region of Ethiopia, inhabited primarily by the Dawuro people and known for its distinct language and culture.
  • A. Takelsa
    Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
  • B. Wukro
    Wukro is a town in northern Ethiopia known for its historic rock-hewn churches and its location along the main road in the Tigray Region.
  • C. Kerebe
    Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
  • D. Guraru
    Guraru is a town in the Indian state of Bihar, known as a local settlement within the Gaya region.
  • E. Melesse
    Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
  • 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_69ffcf14ab088190b1d2f1f6b18bf85d completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffcfda86788190a62d0ebd3d6d78a0 completed May 10, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69ffd3663d2c81908b16dff405f26360 completed May 10, 2026, 12:37 a.m.
Created at: April 10, 2026, 4:53 a.m.