Triple
T11590992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isanzu |
E274878
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object |
Iramba
Iramba is a Bantu language spoken primarily in north-central Tanzania by the Iramba people.
|
E934192
|
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: Iramba | Statement: [Isanzu, neighboringLanguages, Iramba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iramba Context triple: [Isanzu, neighboringLanguages, Iramba]
-
A.
Mohombi
Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
-
B.
Kilembe
Kilembe is a town in western Uganda that serves as a common starting point for treks to the Rwenzori Mountains, including ascents of Margherita Peak.
-
C.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
D.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
E.
Chavuma
Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
- 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: Iramba Triple: [Isanzu, neighboringLanguages, Iramba]
Generated description
Iramba is a Bantu language spoken primarily in north-central Tanzania by the Iramba people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iramba Target entity description: Iramba is a Bantu language spoken primarily in north-central Tanzania by the Iramba people.
-
A.
Mohombi
Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
-
B.
Kilembe
Kilembe is a town in western Uganda that serves as a common starting point for treks to the Rwenzori Mountains, including ascents of Margherita Peak.
-
C.
Lubemba
Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
-
D.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
E.
Chavuma
Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
- 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.