Triple
T13964916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toshka |
E335897
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Toshka Lakes |
E335897
|
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: Toshka Lakes | Statement: [Toshka, knownFor, Toshka Lakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toshka Lakes Context triple: [Toshka, knownFor, Toshka Lakes]
-
A.
Farafra Depression
Farafra Depression is a remote desert basin in Egypt’s Western Desert, noted for its striking White Desert landscapes of wind-carved chalk rock formations and sparse oases.
-
B.
Toshka
chosen
Toshka is a region in southern Egypt best known for the Toshka Lakes and large-scale desert reclamation and irrigation projects near Lake Nasser.
-
C.
Qattara Depression
The Qattara Depression is a vast, arid basin in northwestern Egypt known for being one of the lowest and most inhospitable natural landscapes in Africa.
-
D.
Ténéré Desert
The Ténéré Desert is a vast, hyper-arid region of the Sahara renowned for its extreme dryness, towering sand dunes, and sparse vegetation.
-
E.
Ubari Lakes
Ubari Lakes are a group of picturesque desert lakes and oases set amid the sand dunes of the Sahara in southwestern Libya.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7e24f08190ba939a8044860033 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d890d48190affd194b2439c271 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.