Triple
T16630615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuba Mountains |
E404068
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Nuba |
E1188710
|
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: Nuba | Statement: [Nuba Mountains, hasEthnicGroup, Nuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuba Context triple: [Nuba Mountains, hasEthnicGroup, Nuba]
-
A.
Nuba
Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
B.
Nuba Mountains
The Nuba Mountains are a rugged, ethnically diverse region in central Sudan known for its long history of conflict, cultural richness, and strategic importance.
-
C.
Moro Nuba
chosen
Moro Nuba are an ethnic subgroup of the Nuba peoples of Sudan, known for their distinct language, cultural traditions, and residence in the Nuba Mountains region.
-
D.
Kidepo Toposa
Kidepo Toposa is a regional dialect of the Toposa language spoken by Toposa communities in the Kidepo area of South Sudan.
-
E.
Ennedi
Ennedi is a remote region in northeastern Chad renowned for its dramatic sandstone massifs, rock arches, and prehistoric rock art.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e5d4448190bfb1b6157bbe5285 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbc6cf48190879b25e66c9453db |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.