Triple

T18875166
Position Surface form Disambiguated ID Type / Status
Subject Kebbede Guebre E461663 entity
Predicate givenName P17 FINISHED
Object Kebbede
Kebbede is an Ethiopian given name, notably borne by individuals such as Kebbede Guebre.
E1347609 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: Kebbede | Statement: [Kebbede Guebre, givenName, Kebbede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kebbede
Context triple: [Kebbede Guebre, givenName, Kebbede]
  • A. Kerebe
    Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
  • B. Kombolcha
    Kombolcha is a major industrial and commercial town in the Amhara Region of north-central Ethiopia, known for its strategic location along key transport routes.
  • C. Baydhabo
    Baydhabo is a major city in southwestern Somalia that serves as the capital of the Bay region and an important political and commercial center.
  • D. Berbera
    Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
  • E. Kabiyesi
    Kabiyesi is a Yoruba honorific style of address reserved for paramount traditional rulers, signifying their supreme and unquestionable authority.
  • 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: Kebbede
Triple: [Kebbede Guebre, givenName, Kebbede]
Generated description
Kebbede is an Ethiopian given name, notably borne by individuals such as Kebbede Guebre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kebbede
Target entity description: Kebbede is an Ethiopian given name, notably borne by individuals such as Kebbede Guebre.
  • A. Kerebe
    Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
  • B. Kombolcha
    Kombolcha is a major industrial and commercial town in the Amhara Region of north-central Ethiopia, known for its strategic location along key transport routes.
  • C. Baydhabo
    Baydhabo is a major city in southwestern Somalia that serves as the capital of the Bay region and an important political and commercial center.
  • D. Berbera
    Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
  • E. Kabiyesi
    Kabiyesi is a Yoruba honorific style of address reserved for paramount traditional rulers, signifying their supreme and unquestionable authority.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3cd49748190948d535918aec3de completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575bfc9988190bc72525ab30cf498 completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a057803e99481909c6ed82014a169d0 completed May 14, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_6a05785d1e08819097299cf6d9e90035 completed May 14, 2026, 7:23 a.m.
Created at: April 10, 2026, 11:57 a.m.