Triple
T11590976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isanzu |
E274878
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kisanzu
Kisanzu is an alternative name for the Isanzu, a Bantu ethnic group primarily living in north-central Tanzania.
|
E934191
|
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: Kisanzu | Statement: [Isanzu, hasAlternativeName, Kisanzu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kisanzu Context triple: [Isanzu, hasAlternativeName, Kisanzu]
-
A.
Mizani
Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
-
B.
Ntumu
Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
C.
Kinyamwezi
Kinyamwezi is a Bantu language spoken primarily by the Nyamwezi people in central Tanzania.
-
D.
Kenuzi
Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
-
E.
Kiunga
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
- 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: Kisanzu Triple: [Isanzu, hasAlternativeName, Kisanzu]
Generated description
Kisanzu is an alternative name for the Isanzu, a Bantu ethnic group primarily living in north-central Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kisanzu Target entity description: Kisanzu is an alternative name for the Isanzu, a Bantu ethnic group primarily living in north-central Tanzania.
-
A.
Mizani
Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
-
B.
Ntumu
Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
C.
Kinyamwezi
Kinyamwezi is a Bantu language spoken primarily by the Nyamwezi people in central Tanzania.
-
D.
Kenuzi
Kenuzi is a Nubian language spoken primarily in southern Egypt and northern Sudan by the Kenuzi (Kenzi) people.
-
E.
Kiunga
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714634b308190bdcb761f8b6712e7 |
completed | April 21, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69e720fc0f38819083bd15169f2ce4bb |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e72353c19c8190b7a579e9af823872 |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 8, 2026, 9:38 p.m.