Triple
T3835221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ad Dahna Desert |
E91113
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Najd |
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 | Statement: [Ad Dahna Desert, countrySubdivision, Najd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Najd Context triple: [Ad Dahna Desert, countrySubdivision, Najd]
-
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.
Zau
Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
-
C.
Nadym
Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
-
D.
Shughni
Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
-
E.
Khopyor
Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb9a27508190b05e5312cc7c8033 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512259d048190be25add7e38a0326 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.