Triple
T7302620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moi International Airport |
E167893
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | Jambojet |
E162778
|
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: Jambojet | Statement: [Moi International Airport, isHubFor, Jambojet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jambojet Context triple: [Moi International Airport, isHubFor, Jambojet]
-
A.
Jambojet
chosen
Jambojet is a Kenyan low-cost airline that operates domestic and regional flights as a subsidiary of Kenya Airways.
-
B.
Dschubba
Dschubba is a bright multiple star system that forms the "head" of the constellation Scorpius and is designated Delta Scorpii.
-
C.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
D.
Jebba
Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
-
E.
Bimoba
Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.