Triple
T14345392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giles Nuttgens |
E355704
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Entebbe |
E44536
|
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: Entebbe | Statement: [Giles Nuttgens, notableWork, Entebbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entebbe Context triple: [Giles Nuttgens, notableWork, Entebbe]
-
A.
Entebbe
chosen
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.
-
B.
Kampala
Kampala is the capital and largest city of Uganda, serving as the country’s political, economic, and cultural center.
-
C.
Nairobi–Entebbe
Nairobi–Entebbe refers to the international air route connecting Nairobi, Kenya, with Entebbe, Uganda, a key corridor for regional travel in East Africa.
-
D.
Mbarara
Mbarara is a major city in southwestern Uganda that serves as a key commercial and transport hub for the region.
-
E.
Nalubaale
Nalubaale is the traditional Luganda name for Lake Victoria, one of Africa’s Great Lakes and the world’s largest tropical lake.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8b81bc8190ace2a575faf55cc0 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469f63b881909c164b1aaadcc15d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.