Triple
T10464213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amata Kabua |
E246748
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Kabua Kabua |
E866202
|
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: Kabua Kabua | Statement: [Amata Kabua, relative, Kabua Kabua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabua Kabua Context triple: [Amata Kabua, relative, Kabua Kabua]
-
A.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
B.
Kabua
chosen
Kabua is a Marshallese surname most notably associated with Amata Kabua, the first President of the Marshall Islands.
-
C.
Kakababu
Kakababu is a popular fictional adventurer and former archaeologist from Bengali literature, best known as the physically disabled yet fearless hero of Sunil Gangopadhyay’s children’s adventure series.
-
D.
Kanembu
The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
-
E.
Kalewa
Kalewa is a town in northwestern Myanmar that serves as a strategic river port and transport hub along the Chindwin River.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50885e220819089e455b646f31e65 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.