Triple
T4702782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Malawi |
E104313
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object |
Lilongwe River
The Lilongwe River is a significant river in Malawi that flows through the capital city, Lilongwe, before ultimately draining into Lake Malawi.
|
E481383
|
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: Lilongwe River | Statement: [Lake Malawi, inflow, Lilongwe River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilongwe River Context triple: [Lake Malawi, inflow, Lilongwe River]
-
A.
Lusaka River
The Lusaka River is a watercourse in Zambia that gave its name to the nation’s capital city, Lusaka.
-
B.
Lukuga River
The Lukuga River is a major river in central Africa that drains Lake Tanganyika westward toward the Congo River basin.
-
C.
Pungwe River
The Pungwe River is a major watercourse in southeastern Africa that flows from Zimbabwe into Mozambique, supporting regional ecosystems, agriculture, and hydropower.
-
D.
Ruvubu River
The Ruvubu River is a major East African river that flows through Burundi and Tanzania, forming part of the upper Nile basin.
-
E.
Ulanga River
The Ulanga River is a fictional East African waterway famously depicted as the treacherous river route navigated in C.S. Forester’s novel and the classic film "The African Queen."
- 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: Lilongwe River Triple: [Lake Malawi, inflow, Lilongwe River]
Generated description
The Lilongwe River is a significant river in Malawi that flows through the capital city, Lilongwe, before ultimately draining into Lake Malawi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lilongwe River Target entity description: The Lilongwe River is a significant river in Malawi that flows through the capital city, Lilongwe, before ultimately draining into Lake Malawi.
-
A.
Lusaka River
The Lusaka River is a watercourse in Zambia that gave its name to the nation’s capital city, Lusaka.
-
B.
Lukuga River
The Lukuga River is a major river in central Africa that drains Lake Tanganyika westward toward the Congo River basin.
-
C.
Pungwe River
The Pungwe River is a major watercourse in southeastern Africa that flows from Zimbabwe into Mozambique, supporting regional ecosystems, agriculture, and hydropower.
-
D.
Ruvubu River
The Ruvubu River is a major East African river that flows through Burundi and Tanzania, forming part of the upper Nile basin.
-
E.
Ulanga River
The Ulanga River is a fictional East African waterway famously depicted as the treacherous river route navigated in C.S. Forester’s novel and the classic film "The African Queen."
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cec7988190b5f1d04d4f95314a |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be7781d90881908cbf48ec60de3cfc |
completed | March 21, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69be793ee6c88190b0c9e8fb212a9067 |
completed | March 21, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be79e948408190a80b0317843a82fa |
completed | March 21, 2026, 10:58 a.m. |
Created at: March 20, 2026, 1:17 p.m.