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.