Triple
T2405217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myene |
E50260
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Omyene |
E60746
|
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: Omyene | Statement: [Myene, hasAlternativeName, Omyene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omyene Context triple: [Myene, hasAlternativeName, Omyene]
-
A.
Apswa
Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
-
B.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
C.
Nyokum
Nyokum is a major agricultural and religious festival of the Nyishi tribe in Arunachal Pradesh, India, celebrated to invoke prosperity, harmony, and good harvest.
-
D.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
E.
Ndowe
chosen
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef09b92048190acfa3a85417f259c |
completed | March 9, 2026, 4:08 p.m. |
Created at: March 4, 2026, 7:58 p.m.