Triple
T7911502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbeya Region |
E183708
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Mbalizi
Mbalizi is a town in southwestern Tanzania located within the Mbeya Region, known as a local commercial and transport hub for the surrounding rural areas.
|
E708692
|
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: Mbalizi | Statement: [Mbeya Region, hasCity, Mbalizi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbalizi Context triple: [Mbeya Region, hasCity, Mbalizi]
-
A.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
B.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
-
C.
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.
-
D.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
-
E.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
- 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: Mbalizi Triple: [Mbeya Region, hasCity, Mbalizi]
Generated description
Mbalizi is a town in southwestern Tanzania located within the Mbeya Region, known as a local commercial and transport hub for the surrounding rural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mbalizi Target entity description: Mbalizi is a town in southwestern Tanzania located within the Mbeya Region, known as a local commercial and transport hub for the surrounding rural areas.
-
A.
Mbagala
"Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
B.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
-
C.
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.
-
D.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
-
E.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a725b8c8190a530adb3107a95dd |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5634f3c48190a801945317e4883d |
completed | March 31, 2026, 11:18 p.m. |
| NEDg | Description generation | batch_69cc5ca6efbc819082f4c643446da354 |
completed | March 31, 2026, 11:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5d6d93f08190b17d6c7a4fad2cf0 |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 5:04 p.m.