Triple
T10911983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datooga |
E257722
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Gisamjanga
Gisamjanga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
|
E894152
|
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: Gisamjanga | Statement: [Datooga, hasDialect, Gisamjanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gisamjanga Context triple: [Datooga, hasDialect, Gisamjanga]
-
A.
Sanyati
Sanyati is a small town in Zimbabwe known for its agricultural activities and location within Mashonaland West Province.
-
B.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
C.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
D.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
-
E.
Nakasongola
Nakasongola is a town in central Uganda that serves as an administrative and commercial center for the surrounding rural district.
- 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: Gisamjanga Triple: [Datooga, hasDialect, Gisamjanga]
Generated description
Gisamjanga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gisamjanga Target entity description: Gisamjanga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
-
A.
Sanyati
Sanyati is a small town in Zimbabwe known for its agricultural activities and location within Mashonaland West Province.
-
B.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
C.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
D.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
-
E.
Nakasongola
Nakasongola is a town in central Uganda that serves as an administrative and commercial center for the surrounding rural district.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216da42a0819095def6a691abf107 |
completed | April 17, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69e21d8952c881908a952de83754e049 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e2247fbd348190bb0d221923dac892 |
completed | April 17, 2026, 12:16 p.m. |
Created at: April 8, 2026, 9:22 p.m.