Triple
T5666501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ǃXóõ |
E124869
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Kalahari Desert |
E13486
|
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: Kalahari Desert | Statement: [ǃXóõ, region, Kalahari Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalahari Desert Context triple: [ǃXóõ, region, Kalahari Desert]
-
A.
Kalahari Desert
chosen
The Kalahari Desert is a vast semi-arid sandy savanna in southern Africa known for its red dunes, sparse vegetation, and unique wildlife adapted to its dry conditions.
-
B.
Namib Desert
The Namib Desert is a vast, ancient coastal desert in southwestern Africa, renowned for its towering red sand dunes and extreme arid conditions along the Atlantic coast.
-
C.
Kalahari Basin
The Kalahari Basin is a large inland drainage basin in southern Africa that encompasses and gives rise to the arid Kalahari Desert and surrounding semi-arid regions.
-
D.
Kalimari Desert
Kalimari Desert is a Wild West–themed racetrack in the Mario Kart series, characterized by its sandy terrain and a central railroad crossing with an active train obstacle.
-
E.
Błędów Desert
Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02345004081908858867be48d3885 |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a2b38c88190bdd0e172644df081 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.