Triple
T4188989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skardu |
E88385
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | Sarfaranga Desert |
E419659
|
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: Sarfaranga Desert | Statement: [Skardu, touristAttraction, Sarfaranga Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarfaranga Desert Context triple: [Skardu, touristAttraction, Sarfaranga Desert]
-
A.
Błędów Desert
Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
-
B.
Nefud Desert
The Nefud Desert is a vast, crescent-shaped sand desert in northern Saudi Arabia known for its towering dunes and harsh, arid climate.
-
C.
Ad Dahna Desert
Ad Dahna Desert is a long, narrow corridor of reddish sand dunes in central Saudi Arabia that links the Nafud Desert in the north with the Rub' al Khali in the south.
-
D.
Aralkum Desert
The Aralkum Desert is a man-made desert that formed on the former seabed of the rapidly shrinking Aral Sea in Central Asia.
-
E.
Katpana Desert
chosen
Katpana Desert is a high-altitude cold desert near Skardu in Pakistan’s Gilgit-Baltistan region, known for its striking sand dunes set against snow-capped mountains.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0326eaec819083cd298c9219dd15 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a849cdac8190b12ac2a0e42c3b53 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 9, 2026, 3:46 p.m.