Triple

T10489656
Position Surface form Disambiguated ID Type / Status
Subject Gambela Region E247380 entity
Predicate hasMajorTown P316 FINISHED
Object Abobo
Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
E867098 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: Abobo | Statement: [Gambela Region, hasMajorTown, Abobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abobo
Context triple: [Gambela Region, hasMajorTown, Abobo]
  • A. Abdju
    Abdju is the ancient Egyptian name for Abydos, one of Egypt’s oldest and most sacred cities, renowned as a major cult center of Osiris and a royal burial site.
  • B. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • C. Nossi-Bé
    Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
  • D. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • E. Dyola
    Dyola is an alternative name for the Jola language spoken by the Jola people of West Africa, primarily in Senegal, Gambia, and Guinea-Bissau.
  • 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: Abobo
Triple: [Gambela Region, hasMajorTown, Abobo]
Generated description
Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abobo
Target entity description: Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
  • A. Abdju
    Abdju is the ancient Egyptian name for Abydos, one of Egypt’s oldest and most sacred cities, renowned as a major cult center of Osiris and a royal burial site.
  • B. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • C. Nossi-Bé
    Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
  • D. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • E. Dyola
    Dyola is an alternative name for the Jola language spoken by the Jola people of West Africa, primarily in Senegal, Gambia, and Guinea-Bissau.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.