Triple
T13219052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sena–Nyanja languages |
E314699
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Korekore dialect cluster |
E634464
|
NE FINISHED |
How this triple was built (2 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: Korekore dialect cluster | Statement: [Sena–Nyanja languages, hasMemberLanguage, Korekore dialect cluster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korekore dialect cluster Context triple: [Sena–Nyanja languages, hasMemberLanguage, Korekore dialect cluster]
-
A.
Korekore dialect
chosen
The Korekore dialect is a regional variety of the Shona language spoken primarily by the Korekore people in northern Zimbabwe.
-
B.
Kikai dialect
The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
-
C.
Paku dialect
The Paku dialect is a regional variety of the Maanyan language spoken by Dayak communities in parts of Central Kalimantan, Indonesia.
-
D.
Kuto-Kute dialect
The Kuto-Kute dialect is a regional variety of the Sasak language spoken on the island of Lombok in Indonesia.
-
E.
Kamia dialect
The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.