Triple
T10650411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barotseland |
E250951
|
entity |
| Predicate | traditionalRulerResidence |
P91692
|
FINISHED |
| Object |
Limulunga
Limulunga is a royal settlement in western Zambia that serves as one of the main capitals and ceremonial residences of the Litunga, the king of Barotseland.
|
E877259
|
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: Limulunga | Statement: [Barotseland, traditionalRulerResidence, Limulunga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limulunga Context triple: [Barotseland, traditionalRulerResidence, Limulunga]
-
A.
Malongo
Malongo is a major offshore oil field and production hub located off the coast of Cabinda in Angola.
-
B.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
C.
Mlolongo
Mlolongo is a rapidly growing urban town in Kenya’s Machakos County, situated along the Nairobi–Mombasa highway and known for its bustling commercial activity and residential estates.
-
D.
Zamdela
Zamdela is a township suburb of Sasolburg in South Africa, primarily serving as a residential area for workers in the nearby industrial and petrochemical complexes.
-
E.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
- 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: Limulunga Triple: [Barotseland, traditionalRulerResidence, Limulunga]
Generated description
Limulunga is a royal settlement in western Zambia that serves as one of the main capitals and ceremonial residences of the Litunga, the king of Barotseland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limulunga Target entity description: Limulunga is a royal settlement in western Zambia that serves as one of the main capitals and ceremonial residences of the Litunga, the king of Barotseland.
-
A.
Malongo
Malongo is a major offshore oil field and production hub located off the coast of Cabinda in Angola.
-
B.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
C.
Mlolongo
Mlolongo is a rapidly growing urban town in Kenya’s Machakos County, situated along the Nairobi–Mombasa highway and known for its bustling commercial activity and residential estates.
-
D.
Zamdela
Zamdela is a township suburb of Sasolburg in South Africa, primarily serving as a residential area for workers in the nearby industrial and petrochemical complexes.
-
E.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31b72d081908ec8029cd9f6d814 |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a69a57c81908bf99cac0c0a49f2 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e13913081908dd1fb60fa44db05 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:06 p.m.