Triple
T15978222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beja language |
E387504
|
entity |
| Predicate | hasNeighbouringLanguage |
P16383
|
FINISHED |
| Object | Nobiin |
E40530
|
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: Nobiin | Statement: [Beja language, hasNeighbouringLanguage, Nobiin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nobiin Context triple: [Beja language, hasNeighbouringLanguage, Nobiin]
-
A.
Nobiin
chosen
Nobiin is a Nile-Nubian language spoken primarily by Nubian communities in southern Egypt and northern Sudan, known for its ancient roots and rich oral tradition.
-
B.
Niúachi
Niúachi is an alternative name for the Missouria, a Native American tribe historically located in the central United States along the Missouri River.
-
C.
Ninji
Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
-
D.
Bunzo
Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
-
E.
Nintu
Nintu is a Mesopotamian mother goddess associated with childbirth, creation, and the formation of humankind.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157521f6c8190a54023b5ee6fc033 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c9567c8190af87c3fcf8a4af15 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.