Triple
T8343908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semnan Province |
E195987
|
entity |
| Predicate | hasDesert |
P1024
|
FINISHED |
| Object | Dasht-e Kavir |
E309821
|
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: Dasht-e Kavir | Statement: [Semnan Province, hasDesert, Dasht-e Kavir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasht-e Kavir Context triple: [Semnan Province, hasDesert, Dasht-e Kavir]
-
A.
Dasht-e Kavir
chosen
Dasht-e Kavir is Iran’s vast central salt desert, characterized by arid plains, salt flats, and extreme climatic conditions.
-
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.
Tabas Desert
The Tabas Desert is an arid region in eastern Iran, historically notable as the site of the failed 1980 U.S. military rescue mission Operation Eagle Claw during the Iran hostage crisis.
-
D.
Dasht-e Lut
Dasht-e Lut is a vast desert in southeastern Iran known as one of the hottest and driest places on Earth.
-
E.
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.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fed6b588190ba5593859c8effc2 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc733f7848190ab60098cb178dbfc |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.