Triple
T9671609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwanza City Council |
E234042
|
entity |
| Predicate | jurisdictionOver |
P808
|
FINISHED |
| Object |
Mwanza city
Mwanza city is a major urban and commercial center on the southern shores of Lake Victoria in northern Tanzania, known for its port, fishing industry, and role as a regional hub.
|
E813769
|
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: Mwanza city | Statement: [Mwanza City Council, jurisdictionOver, Mwanza city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mwanza city Context triple: [Mwanza City Council, jurisdictionOver, Mwanza city]
-
A.
King City
King City is a small community named after and located within the municipality of King in Ontario, Canada.
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Hub City
Hub City is the nickname for Lubbock, Texas, a major economic, educational, and healthcare center for the surrounding West Texas region.
-
D.
Hub City
Hub City is a common nickname for Moncton, a major transportation and commercial center in New Brunswick, Canada.
-
E.
Hub City
Hub City is the nickname of Crestview, Florida, reflecting its role as a central crossroads and regional center in the Florida Panhandle.
- 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: Mwanza city Triple: [Mwanza City Council, jurisdictionOver, Mwanza city]
Generated description
Mwanza city is a major urban and commercial center on the southern shores of Lake Victoria in northern Tanzania, known for its port, fishing industry, and role as a regional hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mwanza city Target entity description: Mwanza city is a major urban and commercial center on the southern shores of Lake Victoria in northern Tanzania, known for its port, fishing industry, and role as a regional hub.
-
A.
King City
King City is a small community named after and located within the municipality of King in Ontario, Canada.
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Hub City
Hub City is the nickname for Lubbock, Texas, a major economic, educational, and healthcare center for the surrounding West Texas region.
-
D.
Hub City
Hub City is a common nickname for Moncton, a major transportation and commercial center in New Brunswick, Canada.
-
E.
Hub City
Hub City is the nickname of Crestview, Florida, reflecting its role as a central crossroads and regional center in the Florida Panhandle.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6949108190b699442e5c2aacf9 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a28d1c481908737992466d35fdd |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18adf50308190bf1cc9d6dd1d7ea3 |
completed | April 4, 2026, 10:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:15 p.m.