Triple
T22139669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaza Nguni |
E547122
|
entity |
| Predicate | expandedUnder |
P5633
|
FINISHED |
| Object |
Mzila
Mzila was a 19th-century ruler of the Gaza Nguni kingdom in southern Africa, known for consolidating and expanding its power and territory.
|
E1522890
|
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: Mzila | Statement: [Gaza Nguni, expandedUnder, Mzila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mzila Context triple: [Gaza Nguni, expandedUnder, Mzila]
-
A.
Mzembi
Mzembi is the surname of Walter Mzembi, a Zimbabwean politician who served as Minister of Tourism and Hospitality Industry.
-
B.
Mkushi
Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
-
C.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
-
D.
Mvila
Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
-
E.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
- 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: Mzila Triple: [Gaza Nguni, expandedUnder, Mzila]
Generated description
Mzila was a 19th-century ruler of the Gaza Nguni kingdom in southern Africa, known for consolidating and expanding its power and territory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mzila Target entity description: Mzila was a 19th-century ruler of the Gaza Nguni kingdom in southern Africa, known for consolidating and expanding its power and territory.
-
A.
Mzembi
Mzembi is the surname of Walter Mzembi, a Zimbabwean politician who served as Minister of Tourism and Hospitality Industry.
-
B.
Mkushi
Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
-
C.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
-
D.
Mvila
Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
-
E.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bda1208190b851ae5c68b760e9 |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9eb4d2048190bd65bfcc2cc2c45b |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9fbe9e688190af72e308d32d51de |
completed | May 18, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa027a4008190bbaf5906c43bc894 |
completed | May 18, 2026, 5:14 a.m. |
Created at: April 16, 2026, 8:32 p.m.