Triple
T10909941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Zimbabwe |
E257668
|
entity |
| Predicate | hasDestination |
P2066
|
FINISHED |
| Object | Lilongwe |
E166716
|
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: Lilongwe | Statement: [Air Zimbabwe, hasDestination, Lilongwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilongwe Context triple: [Air Zimbabwe, hasDestination, Lilongwe]
-
A.
Lilongwe
chosen
Lilongwe is the largest city and administrative and political center of Malawi, located in the country’s central region.
-
B.
Chikwawa
Chikwawa is a town in southern Malawi known for its proximity to the Shire River and its role as an agricultural and trading center in the Lower Shire Valley.
-
C.
Lusaka, Zambia
Lusaka, Zambia is the capital and largest city of Zambia, serving as the country’s political, economic, and cultural center.
-
D.
Kapiri Mposhi
Kapiri Mposhi is a town in central Zambia that serves as a key rail and road junction linking the country to Tanzania and other regions.
-
E.
Matadi
Matadi is a major port city in western Democratic Republic of the Congo, serving as the country’s principal seaport and a key gateway for trade between the Atlantic Ocean and the interior via the Congo River.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77068e5488190bbc881ebf51d6b2e |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216da42a0819095def6a691abf107 |
completed | April 17, 2026, 11:17 a.m. |
Created at: April 8, 2026, 9:22 p.m.