Triple
T10483293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabaot |
E247225
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Sebei |
E247221
|
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: Sebei | Statement: [Sabaot, hasAlternativeName, Sebei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebei Context triple: [Sabaot, hasAlternativeName, Sebei]
-
A.
Chembong
Chembong is a state constituency in the Rembau District of Negeri Sembilan, Malaysia, represented in the Negeri Sembilan State Legislative Assembly.
-
B.
Kipsigis
chosen
Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
-
C.
Rutooro
Rutooro is a Bantu language spoken primarily by the Tooro people in western Uganda.
-
D.
Bul Nuer
Bul Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
-
E.
Bor Dinka
Bor Dinka are a prominent subgroup of the Dinka people of South Sudan, known for their Nilotic pastoralist culture, cattle herding traditions, and significant role in the country’s political and social history.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509678ac88190984f18a2162e2dcf |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933c5caa08190a5fba92ebf4b0ff9 |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:22 p.m.