Triple

T12806998
Position Surface form Disambiguated ID Type / Status
Subject Ijeshaland E306169 entity
Predicate traditionalTitle P11127 FINISHED
Object Owa
Owa is the paramount traditional ruler and royal title associated with the leadership of Ijeshaland in southwestern Nigeria.
E1003939 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: Owa | Statement: [Ijeshaland, traditionalTitle, Owa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owa
Context triple: [Ijeshaland, traditionalTitle, Owa]
  • A. Oya
    Oya is a powerful Yoruba orisha associated with storms, winds, transformation, and the Niger River.
  • B. Ogunai
    Ogunai is a small riverside settlement located along the Fly River in Papua New Guinea.
  • C. Opebi
    Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
  • D. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • E. Oku
    Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
  • 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: Owa
Triple: [Ijeshaland, traditionalTitle, Owa]
Generated description
Owa is the paramount traditional ruler and royal title associated with the leadership of Ijeshaland in southwestern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Owa
Target entity description: Owa is the paramount traditional ruler and royal title associated with the leadership of Ijeshaland in southwestern Nigeria.
  • A. Oya
    Oya is a powerful Yoruba orisha associated with storms, winds, transformation, and the Niger River.
  • B. Ogunai
    Ogunai is a small riverside settlement located along the Fly River in Papua New Guinea.
  • C. Opebi
    Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
  • D. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • E. Oku
    Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec6556081909375fada79ddcb8c completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f68f8d2ca08190a385635fb6130a9f completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 9, 2026, 5:31 p.m.