Triple
T3909020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Eurasian desert belt |
E87276
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dasht-e Lut |
E332080
|
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 Lut | Statement: [Afro-Eurasian desert belt, contains, Dasht-e Lut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasht-e Lut Context triple: [Afro-Eurasian desert belt, contains, Dasht-e Lut]
-
A.
Dasht-e Lut
chosen
Dasht-e Lut is a vast desert in southeastern Iran known as one of the hottest and driest places on Earth.
-
B.
Dasht-e Kavir
Dasht-e Kavir is Iran’s vast central salt desert, characterized by arid plains, salt flats, and extreme climatic conditions.
-
C.
Danakil Desert
The Danakil Desert is an extremely hot, arid region in northeastern Ethiopia and Eritrea, known for its salt flats, active volcanoes, and otherworldly geothermal landscapes.
-
D.
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.
-
E.
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.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed14d6d08190b74757eb9288fe4d |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285851248190a18cea371aacbc49 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:22 p.m.