Triple

T14797806
Position Surface form Disambiguated ID Type / Status
Subject King Agaja E347824 entity
Predicate predecessor P97 FINISHED
Object Akaba
Akaba was an early 18th-century king of the West African Kingdom of Dahomey, known for consolidating royal power before being succeeded by his brother King Agaja.
 E1121156 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: Akaba | Statement: [King Agaja, predecessor, Akaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akaba
Context triple: [King Agaja, predecessor, Akaba]
  • A. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • B. Bahr el Jebel
    Bahr el Jebel is the stretch of the White Nile that flows through South Sudan, characterized by its swamps and rapids before joining the Bahr el Ghazal.
  • C. El Sebaia
    El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
  • D. Makadi Bay
    Makadi Bay is a popular Egyptian Red Sea resort destination known for its sandy beaches, clear waters, and coral reefs that attract divers and holidaymakers.
  • E. El Aouana
    El Aouana is a coastal town and commune in northeastern Algeria known for its Mediterranean shoreline and location within Jijel Province.
  • 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: Akaba
Triple: [King Agaja, predecessor, Akaba]
Generated description
Akaba was an early 18th-century king of the West African Kingdom of Dahomey, known for consolidating royal power before being succeeded by his brother King Agaja.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akaba
Target entity description: Akaba was an early 18th-century king of the West African Kingdom of Dahomey, known for consolidating royal power before being succeeded by his brother King Agaja.
  • A. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • B. Bahr el Jebel
    Bahr el Jebel is the stretch of the White Nile that flows through South Sudan, characterized by its swamps and rapids before joining the Bahr el Ghazal.
  • C. El Sebaia
    El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
  • D. Makadi Bay
    Makadi Bay is a popular Egyptian Red Sea resort destination known for its sandy beaches, clear waters, and coral reefs that attract divers and holidaymakers.
  • E. El Aouana
    El Aouana is a coastal town and commune in northeastern Algeria known for its Mediterranean shoreline and location within Jijel Province.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd6131f08190885f1d27b4bfac7a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c0beb0819081a124479a849bb6 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe2c102f8c8190b9ed567fd2946ed2 completed May 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69fe2d898ae08190be30b5a12937a6a4 completed May 8, 2026, 6:38 p.m.
Created at: April 10, 2026, 1:31 a.m.