Triple
T14151935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silozi |
E350703
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Mankoya
Mankoya is a dialect of the Silozi language spoken by communities in parts of southwestern Zambia.
|
E1108871
|
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: Mankoya | Statement: [Silozi, hasDialects, Mankoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mankoya Context triple: [Silozi, hasDialects, Mankoya]
-
A.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
-
B.
Yokadouma
Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
-
C.
Mukawa
Mukawa is a coastal town in Hokkaido, Japan, known for its fishing industry and scenic natural surroundings.
-
D.
Miyakoan
Miyakoan is a Ryukyuan language spoken primarily on the Miyako Islands of Japan, distinct from standard Japanese and recognized as endangered.
-
E.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
- 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: Mankoya Triple: [Silozi, hasDialects, Mankoya]
Generated description
Mankoya is a dialect of the Silozi language spoken by communities in parts of southwestern Zambia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mankoya Target entity description: Mankoya is a dialect of the Silozi language spoken by communities in parts of southwestern Zambia.
-
A.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
-
B.
Yokadouma
Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
-
C.
Mukawa
Mukawa is a coastal town in Hokkaido, Japan, known for its fishing industry and scenic natural surroundings.
-
D.
Miyakoan
Miyakoan is a Ryukyuan language spoken primarily on the Miyako Islands of Japan, distinct from standard Japanese and recognized as endangered.
-
E.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd949df6688190ac92f7e0945bce02 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd9818cc6081908f2b628abd983973 |
completed | May 8, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98b320108190b7d4c43bfd4038fb |
completed | May 8, 2026, 8:02 a.m. |
Created at: April 10, 2026, 12:57 a.m.