Triple
T20072551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lega |
E499773
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Warega
Warega is an alternative name for the Lega people, a Bantu ethnic group primarily inhabiting the eastern regions of the Democratic Republic of the Congo.
|
E1409770
|
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: Warega | Statement: [Lega, hasAlternativeName, Warega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warega Context triple: [Lega, hasAlternativeName, Warega]
-
A.
Warji
Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
-
B.
Warekena
The Warekena are an Indigenous people of the Amazon region, primarily living along rivers in Brazil and Venezuela, known for their distinct Arawakan language and traditional riverine lifestyle.
-
C.
Wasungen
Wasungen is a small historic town in the German state of Thuringia, known for its well-preserved medieval architecture and one of the oldest carnival traditions in Germany.
-
D.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
E.
Wagaman
Wagaman is a residential suburb located in the northern suburbs of Darwin in Australia's Northern Territory.
- 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: Warega Triple: [Lega, hasAlternativeName, Warega]
Generated description
Warega is an alternative name for the Lega people, a Bantu ethnic group primarily inhabiting the eastern regions of the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warega Target entity description: Warega is an alternative name for the Lega people, a Bantu ethnic group primarily inhabiting the eastern regions of the Democratic Republic of the Congo.
-
A.
Warji
Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
-
B.
Warekena
The Warekena are an Indigenous people of the Amazon region, primarily living along rivers in Brazil and Venezuela, known for their distinct Arawakan language and traditional riverine lifestyle.
-
C.
Wasungen
Wasungen is a small historic town in the German state of Thuringia, known for its well-preserved medieval architecture and one of the oldest carnival traditions in Germany.
-
D.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
E.
Wagaman
Wagaman is a residential suburb located in the northern suburbs of Darwin in Australia's Northern Territory.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664392c748190a6cc472f80b8c74b |
completed | April 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f3f57948190885bf1e6c50e32d5 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08204234a48190b9f9a1907e9eddf6 |
completed | May 16, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082112e7bc8190a10cdee4571d053a |
completed | May 16, 2026, 7:47 a.m. |
Created at: April 11, 2026, 3:40 p.m.