Triple
T7152162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilongwe |
E166716
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Malawi |
E27032
|
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: Malawi | Statement: [Lilongwe, country, Malawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malawi Context triple: [Lilongwe, country, Malawi]
-
A.
Malawi
chosen
Malawi is a landlocked country in southeastern Africa known for Lake Malawi, its predominantly agricultural economy, and membership in regional and international organizations including the Commonwealth.
-
B.
Malaweg
Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
-
C.
Mozambique
Mozambique is a southeastern African nation on the Indian Ocean known for its Portuguese colonial heritage, rich cultural diversity, and extensive coastline with important ports and marine resources.
-
D.
Malawi and Mozambique
Malawi and Mozambique are neighboring countries in southeastern Africa that share a border traversed by the Shire River.
-
E.
Zambia
Zambia is a landlocked country in south-central Africa known for the Victoria Falls on the Zambezi River, diverse wildlife, and copper-rich economy.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f3e4a88190a3110f2368262528 |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad7ba0188190bb59a0f9584d1923 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:46 p.m.