Triple
T2106161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rub al Khali |
E42398
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Najd region |
E44274
|
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: Najd region | Statement: [Rub al Khali, borderedBy, Najd region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Najd region Context triple: [Rub al Khali, borderedBy, Najd region]
-
A.
Najd
chosen
Najd is the central plateau region of Saudi Arabia, historically known as a heartland of Arab tribal culture and the birthplace of the modern Saudi state.
-
B.
Geokchay Uyezd
Geokchay Uyezd was an administrative district of the Russian Empire and early Soviet period located in the central part of present-day Azerbaijan.
-
C.
Dagestan
Dagestan is a mountainous republic in the North Caucasus region of Russia, known for its ethnic diversity, complex history, and strategic location along the Caspian Sea.
-
D.
Karas Region
Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
-
E.
Altai Krai
Altai Krai is a federal subject of southwestern Siberia in Russia, known for its agricultural production and diverse landscapes ranging from steppe to 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbaddeb148190b728bce7a7b041fb |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae306bee8881908c62306fb1f6aea1 |
completed | March 9, 2026, 2:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.