Triple
T19204139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinondoni |
E480186
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kijitonyama
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
|
E1365252
|
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: Kijitonyama | Statement: [Kinondoni, contains, Kijitonyama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kijitonyama Context triple: [Kinondoni, contains, Kijitonyama]
-
A.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
B.
Nyanjoga
Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
-
C.
Ijigayehu
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
-
D.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
E.
Kenga
Kenga is a Central Sudanic language spoken primarily by the Kenga people in Chad.
- 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: Kijitonyama Triple: [Kinondoni, contains, Kijitonyama]
Generated description
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kijitonyama Target entity description: Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
-
A.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
B.
Nyanjoga
Nyanjoga is a Kenyan surname associated with individuals such as Habiba Akumu Nyanjoga.
-
C.
Ijigayehu
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
-
D.
Musanze
Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
-
E.
Kenga
Kenga is a Central Sudanic language spoken primarily by the Kenga people in Chad.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99b37c081908c13e0b4cca52aa4 |
completed | April 20, 2026, 10:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700de73948190a22ce83fa351f099 |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a07028a76ec8190a73f5ad24d380855 |
completed | May 15, 2026, 11:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0703248b748190b683455342da7238 |
completed | May 15, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:16 p.m.