Triple
T14797338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omanhene |
E347814
|
entity |
| Predicate | hasSubordinateTitle |
P65943
|
FINISHED |
| Object |
Abusuapanyin
Abusuapanyin is a traditional Akan family head or elder responsible for leading and representing an extended matrilineal family in social and customary matters.
|
E1121145
|
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: Abusuapanyin | Statement: [Omanhene, hasSubordinateTitle, Abusuapanyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abusuapanyin Context triple: [Omanhene, hasSubordinateTitle, Abusuapanyin]
-
A.
Agbeyangi
Agbeyangi is a town in Ilorin East Local Government Area of Kwara State, Nigeria.
-
B.
Oworonshoki
Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
-
C.
Abakuá
Abakuá is an Afro-Cuban fraternal and religious society with roots in West African traditions, known for its secret rituals, music, and strong communal bonds.
-
D.
Agbara
Agbara is a prominent industrial and residential town in southwestern Nigeria, known for its large industrial estate and proximity to Lagos.
-
E.
Ugwunagbo
Ugwunagbo is a local government area in Abia State, southeastern Nigeria, known for its predominantly rural communities and agricultural activities.
- 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: Abusuapanyin Triple: [Omanhene, hasSubordinateTitle, Abusuapanyin]
Generated description
Abusuapanyin is a traditional Akan family head or elder responsible for leading and representing an extended matrilineal family in social and customary matters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abusuapanyin Target entity description: Abusuapanyin is a traditional Akan family head or elder responsible for leading and representing an extended matrilineal family in social and customary matters.
-
A.
Agbeyangi
Agbeyangi is a town in Ilorin East Local Government Area of Kwara State, Nigeria.
-
B.
Oworonshoki
Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
-
C.
Abakuá
Abakuá is an Afro-Cuban fraternal and religious society with roots in West African traditions, known for its secret rituals, music, and strong communal bonds.
-
D.
Agbara
Agbara is a prominent industrial and residential town in southwestern Nigeria, known for its large industrial estate and proximity to Lagos.
-
E.
Anoyo
Anoyo is a 2019 experimental ambient album by Canadian electronic composer Tim Hecker, noted for its ethereal soundscapes and integration of traditional Japanese instrumentation.
- 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.