Triple
T11507483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mzuzu |
E272822
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object |
Karonga
Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
|
E929878
|
NE FINISHED |
How this triple was built (4 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: Karonga | Statement: [Mzuzu, hasRoadConnectionTo, Karonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karonga Context triple: [Mzuzu, hasRoadConnectionTo, Karonga]
-
A.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
-
B.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
C.
Karanga
Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
-
D.
Kitengela
Kitengela is a rapidly growing commuter town in Kenya known for its residential estates, industrial development, and proximity to Nairobi.
-
E.
Nabulungi
Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karonga Triple: [Mzuzu, hasRoadConnectionTo, Karonga]
Generated description
Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karonga Target entity description: Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
-
A.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
-
B.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
C.
Karanga
Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
-
D.
Kitengela
Kitengela is a rapidly growing commuter town in Kenya known for its residential estates, industrial development, and proximity to Nairobi.
-
E.
Nabulungi
Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
- F. None of above. chosen
Provenance (5 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624e6e5b88190a2c64dcea1d7791b |
completed | April 20, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:36 p.m.