Triple
T8442980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imuhar |
E199593
|
entity |
| Predicate | ethnicGroupOf |
P1898
|
FINISHED |
| Object | Sahara Desert region |
E10378
|
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: Sahara Desert region | Statement: [Imuhar, ethnicGroupOf, Sahara Desert region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sahara Desert region Context triple: [Imuhar, ethnicGroupOf, Sahara Desert region]
-
A.
Sahara Desert
chosen
The Sahara Desert is the world’s largest hot desert, spanning much of North Africa with vast sand seas, rocky plateaus, and extreme arid conditions.
-
B.
Northern Sahara
The Northern Sahara is the vast arid expanse forming the northern portion of the Sahara Desert, encompassing regions such as the M’zab in Algeria and characterized by rocky plateaus, sand seas, and oases.
-
C.
Nubian Desert
The Nubian Desert is a hyper-arid region of the eastern Sahara in northeastern Sudan and northern Eritrea, characterized by rocky plateaus, sand dunes, and sparse vegetation along the Nile.
-
D.
Sahara
"Sahara" is a 2005 action-adventure film based on Clive Cussler's novel, following treasure hunters on a perilous quest in the African desert.
-
E.
Sahara
Sahara is an OpenStack data processing service that provisions and manages Hadoop and other big data clusters on cloud infrastructure.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe310d8e08190b871bda79acde678 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ceee5a48190a3858a341534f7f1 |
completed | April 2, 2026, 1:19 p.m. |
Created at: March 30, 2026, 6:08 p.m.