Triple
T10490359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyima languages |
E247400
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Nuba Mountains |
E404068
|
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 Mountains | Statement: [Nyima languages, region, Nuba Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuba Mountains Context triple: [Nyima languages, region, Nuba Mountains]
-
A.
Nuba Mountains
chosen
The Nuba Mountains are a rugged, ethnically diverse region in central Sudan known for its long history of conflict, cultural richness, and strategic importance.
-
B.
Nuba
Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
C.
Bamileke Plateau
The Bamileke Plateau is a highland region in western Cameroon known for its fertile volcanic soils, dense rural settlements, and the culturally rich Bamileke people.
-
D.
Nafusa Mountains
The Nafusa Mountains are a rugged mountain range in northwestern Libya, known for their Berber communities, historical resistance movements, and strategic position overlooking the Tripolitanian plain.
-
E.
Guinea Highlands
The Guinea Highlands is a mountainous region in West Africa known for its rich mineral resources and as the headwaters of several major rivers, including the Niger.
- 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_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc9792308190b09d6aaed63dd418 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:23 p.m.