Triple
T20072124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanganyika Province |
E499762
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kabalo |
—
|
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: Kabalo | Statement: [Tanganyika Province, hasCity, Kabalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabalo Context triple: [Tanganyika Province, hasCity, Kabalo]
-
A.
Kabalo
chosen
Kabalo is a town in southeastern Democratic Republic of the Congo, known historically as a colonial-era river and rail transport hub.
-
B.
El Kabong
El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
-
C.
Kanjobal
Kanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala and parts of southern Mexico.
-
D.
Kabale
Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
-
E.
Kalibak
Kalibak is a powerful and brutal DC Comics supervillain, the son of Darkseid and a fearsome warrior of Apokolips in Jack Kirby’s New Gods mythos.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66438633481908710907c48806499 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.