Triple

T10953038
Position Surface form Disambiguated ID Type / Status
Subject Francis Deng E258770 entity
Predicate placeOfBirth P1 FINISHED
Object Abyei
Abyei is a disputed oil-rich border region between Sudan and South Sudan, inhabited mainly by the Ngok Dinka people and frequently a flashpoint of conflict.
 E896615 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: Abyei | Statement: [Francis Deng, placeOfBirth, Abyei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abyei
Context triple: [Francis Deng, placeOfBirth, Abyei]
  • A. South Kordofan
    South Kordofan is a conflict-affected state in central Sudan known for its ethnic diversity, Nuba Mountains region, and complex political and humanitarian challenges.
  • B. Arabi Juba
    Arabi Juba is a colloquial Arabic-based creole widely spoken as a lingua franca in and around Juba, South Sudan.
  • C. Sennar State
    Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
  • D. Bahr el Ghazal
    Bahr el Ghazal is a major river and region in South Sudan that forms one of the principal western tributary systems of the White Nile.
  • E. Nzara, Sudan
    Nzara, Sudan is a town in southwestern South Sudan notable as the site of the first recorded outbreak of Ebola virus disease in 1976.
  • 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: Abyei
Triple: [Francis Deng, placeOfBirth, Abyei]
Generated description
Abyei is a disputed oil-rich border region between Sudan and South Sudan, inhabited mainly by the Ngok Dinka people and frequently a flashpoint of conflict.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abyei
Target entity description: Abyei is a disputed oil-rich border region between Sudan and South Sudan, inhabited mainly by the Ngok Dinka people and frequently a flashpoint of conflict.
  • A. South Kordofan
    South Kordofan is a conflict-affected state in central Sudan known for its ethnic diversity, Nuba Mountains region, and complex political and humanitarian challenges.
  • B. Arabi Juba
    Arabi Juba is a colloquial Arabic-based creole widely spoken as a lingua franca in and around Juba, South Sudan.
  • C. Sennar State
    Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
  • D. Bahr el Ghazal
    Bahr el Ghazal is a major river and region in South Sudan that forms one of the principal western tributary systems of the White Nile.
  • E. Nzara, Sudan
    Nzara, Sudan is a town in southwestern South Sudan notable as the site of the first recorded outbreak of Ebola virus disease in 1976.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 9:23 p.m.