Triple

T5797138
Position Surface form Disambiguated ID Type / Status
Subject Odinani E128534 entity
Predicate hasDeity P5606 FINISHED
Object Ekwensu
Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
 E548352 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: Ekwensu | Statement: [Odinani, hasDeity, Ekwensu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ekwensu
Context triple: [Odinani, hasDeity, Ekwensu]
  • A. Akwanga
    Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
  • B. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • C. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • D. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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: Ekwensu
Triple: [Odinani, hasDeity, Ekwensu]
Generated description
Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ekwensu
Target entity description: Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
  • A. Akwanga
    Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
  • B. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • C. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • D. Ewondo
    Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a945fe0819095e62d480c84a2b5 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0982ce0ac8190b9f12cedb66c5eb3 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c099b16d148190b442739fbe2802ad completed March 23, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_69c09a13a19c8190a04807755d16fb95 completed March 23, 2026, 1:40 a.m.
Created at: March 22, 2026, 3:51 p.m.