Triple
T13970526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rukungiri |
E336050
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kabale |
E329619
|
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: Kabale | Statement: [Rukungiri, near, Kabale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabale Context triple: [Rukungiri, near, Kabale]
-
A.
Kabale
chosen
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.
-
B.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
-
C.
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.
-
D.
Kaleibar
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
-
E.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1dc838c8190bbcfefd69ea29965 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.