Triple
T1054917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinjiang |
E22779
|
entity |
| Predicate | containsDesert |
P1024
|
FINISHED |
| Object | Gobi Desert |
E16373
|
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: Gobi Desert | Statement: [Xinjiang, containsDesert, Gobi Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gobi Desert Context triple: [Xinjiang, containsDesert, Gobi Desert]
-
A.
Gobi Desert
chosen
The Gobi Desert is a vast cold desert region in northern China and southern Mongolia, known for its harsh climate, sparse vegetation, and role as part of the historical Mongol Empire and Silk Road.
-
B.
Karakum Desert
The Karakum Desert is a vast arid region covering much of Turkmenistan, known for its extreme climate, sparse population, and significant oil and natural gas reserves.
-
C.
Taklamakan Desert
The Taklamakan Desert is a vast, arid sand desert in China’s Xinjiang region, known for its extreme dryness, shifting dunes, and historical role along the Silk Road.
-
D.
Błędów Desert
Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
-
E.
Thar Desert
The Thar Desert is a vast arid region in northwestern India and eastern Pakistan, known for its sand dunes, extreme climate, and sparse vegetation.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d79268819080f3f3f497e91c58 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66224db481909318add535721977 |
completed | March 7, 2026, 5:53 p.m. |
Created at: March 1, 2026, 7:42 p.m.