Triple
T23368579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayo-Kani |
E593394
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Kaélé |
—
|
NE NERFINISHED |
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: Kaélé | Statement: [Mayo-Kani, hasCapital, Kaélé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaélé Context triple: [Mayo-Kani, hasCapital, Kaélé]
-
A.
Kaélé
chosen
Kaélé is a town in northern Cameroon that serves as an important local center for administration and trade in the Far North Region.
-
B.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
-
C.
Koloa Talake
Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
-
D.
Honalee
Honalee is the idyllic, fictional seaside land where the children’s song character Puff the Magic Dragon lives and plays with his friend Jackie Paper.
-
E.
Lolei
Lolei is an ancient temple in Cambodia’s Angkor region, known as one of the Roluos Group of early Khmer brick towers built during the late 9th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aed374819097d38f51894bee44 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.