Triple
T12602965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zone L (Guthrie classification) |
E300903
|
entity |
| Predicate | containsLanguage |
P2177
|
FINISHED |
| Object |
Lwalu
Lwalu is a Bantu language spoken in parts of Central Africa, classified within Guthrie’s Zone L group of Bantu languages.
|
E993919
|
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: Lwalu | Statement: [Zone L (Guthrie classification), containsLanguage, Lwalu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lwalu Context triple: [Zone L (Guthrie classification), containsLanguage, Lwalu]
-
A.
Molefe
Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
-
B.
Mangosuthu
Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
-
C.
Mofolo
Mofolo is a residential neighborhood within Soweto, Johannesburg, known for its vibrant township culture and historical significance in South Africa.
-
D.
Tshiphani
Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
-
E.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
- 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: Lwalu Triple: [Zone L (Guthrie classification), containsLanguage, Lwalu]
Generated description
Lwalu is a Bantu language spoken in parts of Central Africa, classified within Guthrie’s Zone L group of Bantu languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lwalu Target entity description: Lwalu is a Bantu language spoken in parts of Central Africa, classified within Guthrie’s Zone L group of Bantu languages.
-
A.
Molefe
Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
-
B.
Mangosuthu
Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
-
C.
Mofolo
Mofolo is a residential neighborhood within Soweto, Johannesburg, known for its vibrant township culture and historical significance in South Africa.
-
D.
Tshiphani
Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
-
E.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
- 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.