Triple
T11858270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolokuma/Opokuma |
E282094
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kaiama |
E951704
|
NE FINISHED |
How this triple was built (2 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, hasSettlement, Kaiama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaiama Context triple: [Kolokuma/Opokuma, hasSettlement, 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.
Kaiama
chosen
Kaiama is a town in Bayelsa State, Nigeria, known as the administrative center of the Kolokuma/Opokuma Local Government Area.
-
C.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
D.
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.
-
E.
Kadina
Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f417a954e881909fdd9626d41229e2 |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:43 p.m.