Triple
T14099562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistan |
E339343
|
entity |
| Predicate | borderedBy |
P224
|
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: [Sistan, borderedBy, Dasht-e Lut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasht-e Lut Context triple: [Sistan, borderedBy, 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.
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.
-
C.
Lut Desert
The Lut Desert is a vast, hyper-arid salt desert in southeastern Iran known for its extreme temperatures, unique wind-sculpted landforms, and status as one of the hottest places on Earth.
-
D.
Dasht-e Kavir
Dasht-e Kavir is Iran’s vast central salt desert, characterized by arid plains, salt flats, and extreme climatic conditions.
-
E.
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.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fba7c10819095b1299b7b4f0310 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.