Triple
T12602964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zone L (Guthrie classification) |
E300903
|
entity |
| Predicate | containsLanguage |
P2177
|
FINISHED |
| Object |
Lega-Mwenga
Lega-Mwenga is a Bantu language variety spoken by the Lega people in the Democratic Republic of the Congo.
|
E993918
|
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: Lega-Mwenga | Statement: [Zone L (Guthrie classification), containsLanguage, Lega-Mwenga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lega-Mwenga Context triple: [Zone L (Guthrie classification), containsLanguage, Lega-Mwenga]
-
A.
Murehwa
Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
-
B.
Runyankole
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
C.
Rakai Kayuwangi
Rakai Kayuwangi was a ruler of the Mataram Kingdom in Central Java, known from Old Javanese inscriptions as one of the early monarchs in the Medang (Mataram) dynasty.
-
D.
Mbita
Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
-
E.
Lugwere
Lugwere is a Bantu language spoken primarily by the Bagwere people in eastern Uganda.
- 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: Lega-Mwenga Triple: [Zone L (Guthrie classification), containsLanguage, Lega-Mwenga]
Generated description
Lega-Mwenga is a Bantu language variety spoken by the Lega people in the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lega-Mwenga Target entity description: Lega-Mwenga is a Bantu language variety spoken by the Lega people in the Democratic Republic of the Congo.
-
A.
Murehwa
Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
-
B.
Runyankole
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
C.
Rakai Kayuwangi
Rakai Kayuwangi was a ruler of the Mataram Kingdom in Central Java, known from Old Javanese inscriptions as one of the early monarchs in the Medang (Mataram) dynasty.
-
D.
Mbita
Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
-
E.
Lugwere
Lugwere is a Bantu language spoken primarily by the Bagwere people in eastern Uganda.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecb09e481909d688f174372dde7 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fd6fa8c819094a31f8c2d8ee72d |
completed | May 2, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 9, 2026, 5:10 p.m.