Triple
T9549255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile Nubian |
E230376
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Mattokki |
E742993
|
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: Mattokki | Statement: [Nile Nubian, hasDialect, Mattokki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattokki Context triple: [Nile Nubian, hasDialect, Mattokki]
-
A.
Mattokki
chosen
Mattokki is a lesser-known Nubian language spoken by a small ethnic community in the Nile Valley region of northeastern Africa.
-
B.
Mattokki
Mattokki is an alternative name used by the artist or creator known as Kenzi.
-
C.
Mokk
Mokk was a historical province or district in the region of Greater Armenia, located adjacent to Vaspurakan.
-
D.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
E.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99059138819088ae54b26df979cf |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c82c98c8190a4fd6fc3ceb4173d |
completed | April 4, 2026, 5:38 p.m. |
Created at: March 30, 2026, 8:02 p.m.