Triple
T9229171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Brisker |
E221769
|
entity |
| Predicate | disappearedIn |
P19453
|
FINISHED |
| Object | Kampala, Uganda |
E40695
|
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: Kampala, Uganda | Statement: [John Brisker, disappearedIn, Kampala, Uganda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampala, Uganda Context triple: [John Brisker, disappearedIn, Kampala, Uganda]
-
A.
Kampala
chosen
Kampala is the capital and largest city of Uganda, serving as the country’s political, economic, and cultural center.
-
B.
Entebbe
Entebbe is a town in central Uganda on a peninsula into Lake Victoria, known for its international airport and the site of the 1976 hostage-rescue operation.
-
C.
Kampala District
Kampala District is the central administrative and urban district of Uganda that encompasses the nation’s capital city, Kampala.
-
D.
Lipa City
Lipa City is a highly urbanized city in Batangas, Philippines, known as a commercial, educational, and religious center in the Calabarzon region.
-
E.
Lyantonde
Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa1c5b4819081dac6713053a8ae |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1610abbec81908743c1ef20fb39d4 |
completed | April 4, 2026, 7:05 p.m. |
Created at: March 30, 2026, 7:29 p.m.