Triple
T11858257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolokuma/Opokuma |
E282094
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Kaiama
Kaiama is a town in Bayelsa State, Nigeria, known as the administrative center of the Kolokuma/Opokuma Local Government Area.
|
E951704
|
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: Kaiama | Statement: [Kolokuma/Opokuma, hasCapital, Kaiama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaiama Context triple: [Kolokuma/Opokuma, hasCapital, Kaiama]
-
A.
Kaiama
Kaiama is a town and local government area in Nigeria known for its location within Kwara State and its predominantly rural, agrarian communities.
-
B.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
C.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
-
D.
Kadina
Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
-
E.
Toria
Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
- 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: Kaiama Triple: [Kolokuma/Opokuma, hasCapital, Kaiama]
Generated description
Kaiama is a town in Bayelsa State, Nigeria, known as the administrative center of the Kolokuma/Opokuma Local Government Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaiama Target entity description: Kaiama is a town in Bayelsa State, Nigeria, known as the administrative center of the Kolokuma/Opokuma Local Government Area.
-
A.
Kaiama
Kaiama is a town and local government area in Nigeria known for its location within Kwara State and its predominantly rural, agrarian communities.
-
B.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
C.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
-
D.
Kadina
Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
-
E.
Toria
Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2816404ac81909129347607fb5fd3 |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28d363cac8190b961f17245db493c |
completed | April 29, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f29150bf508190bdf037d40e445e6d |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 8, 2026, 9:43 p.m.