Triple
T9605897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton Obote |
E231969
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object |
Lango
The Lango are a Nilotic ethnic group primarily inhabiting northern Uganda, known for their distinct language and cultural traditions.
|
E810830
|
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: Lango | Statement: [Milton Obote, ethnicGroup, Lango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lango Context triple: [Milton Obote, ethnicGroup, Lango]
-
A.
Langa
Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
-
B.
Lengoʼ
Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
-
C.
Loenga
Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
-
D.
Luhya
The Luhya are a major Bantu-speaking ethnic group primarily inhabiting western Kenya, known for their rich cultural traditions and agricultural heritage.
-
E.
Ikalanga
Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
- 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: Lango Triple: [Milton Obote, ethnicGroup, Lango]
Generated description
The Lango are a Nilotic ethnic group primarily inhabiting northern Uganda, known for their distinct language and cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lango Target entity description: The Lango are a Nilotic ethnic group primarily inhabiting northern Uganda, known for their distinct language and cultural traditions.
-
A.
Langa
Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
-
B.
Lengoʼ
Lengoʼ is an Oceanic language spoken by communities in the Solomon Islands, particularly on parts of Guadalcanal.
-
C.
Loenga
Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
-
D.
Luhya
The Luhya are a major Bantu-speaking ethnic group primarily inhabiting western Kenya, known for their rich cultural traditions and agricultural heritage.
-
E.
Ikalanga
Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a6006d48190adc03306533b9be6 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17939ed4c8190addfb052b762d454 |
completed | April 4, 2026, 8:48 p.m. |
| NEDg | Description generation | batch_69d17a732628819098e50a6ecf47b98c |
completed | April 4, 2026, 8:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17b16d8008190aa9bc71d470be4e5 |
completed | April 4, 2026, 8:56 p.m. |
Created at: March 30, 2026, 8:08 p.m.