Triple

T11690964
Position Surface form Disambiguated ID Type / Status
Subject Saint Josephine Bakhita E277866 entity
Predicate placeOfBirth P1 FINISHED
Object Olgossa
Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
E940830 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: Olgossa | Statement: [Saint Josephine Bakhita, placeOfBirth, Olgossa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olgossa
Context triple: [Saint Josephine Bakhita, placeOfBirth, Olgossa]
  • A. Die Alte Dame
    Die Alte Dame is the traditional nickname of Hertha BSC, one of Berlin’s oldest and most storied football clubs.
  • B. Uolaytta
    Uolaytta is an alternative name for Wolaytta, an Omotic language spoken by the Wolaytta people in southern Ethiopia.
  • C. الدهناء
    الدهناء هي صحراء رملية طويلة وضيقة في وسط شبه الجزيرة العربية تُعد من أبرز الصحارى السعودية التي تربط بين صحراء النفود الكبير والربع الخالي.
  • D. Loggal Oya
    Loggal Oya is a river in Sri Lanka that serves as one of the tributaries feeding the country’s longest river system.
  • E. Al d’Ossché
    Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
  • 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: Olgossa
Triple: [Saint Josephine Bakhita, placeOfBirth, Olgossa]
Generated description
Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olgossa
Target entity description: Olgossa is a village in the Darfur region of Sudan, historically known as the birthplace of Saint Josephine Bakhita.
  • A. Die Alte Dame
    Die Alte Dame is the traditional nickname of Hertha BSC, one of Berlin’s oldest and most storied football clubs.
  • B. Uolaytta
    Uolaytta is an alternative name for Wolaytta, an Omotic language spoken by the Wolaytta people in southern Ethiopia.
  • C. الدهناء
    الدهناء هي صحراء رملية طويلة وضيقة في وسط شبه الجزيرة العربية تُعد من أبرز الصحارى السعودية التي تربط بين صحراء النفود الكبير والربع الخالي.
  • D. Loggal Oya
    Loggal Oya is a river in Sri Lanka that serves as one of the tributaries feeding the country’s longest river system.
  • E. Al d’Ossché
    Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47a3ddc819098e208611148d15b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1451b4708190be9aa0439aface7a completed April 27, 2026, 7:46 a.m.
NEDg Description generation batch_69ef35527f908190b681afdae3aec319 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51ec07ec8190b5cd97cf909388f0 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.