Triple
T6429486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nejd |
E128143
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Al-Majmaah |
E221565
|
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: Al-Majmaah | Statement: [Nejd, contains, Al-Majmaah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Majmaah Context triple: [Nejd, contains, Al-Majmaah]
-
A.
Al-Majma'ah
chosen
Al-Majma'ah is a town in central Saudi Arabia, located in the Najd region and serving as an important local administrative and cultural center.
-
B.
Al-Zulfi
Al-Zulfi is a city in central Saudi Arabia known as an agricultural and commercial center on the edge of the Nafud desert.
-
C.
Diriyah
Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
-
D.
Al-Kharj
Al-Kharj is a city in central Saudi Arabia, southeast of Riyadh, known for its agricultural production and growing urban development.
-
E.
Jubayl
Jubayl is a historic coastal city in Lebanon, widely identified with the ancient Phoenician city of Byblos, one of the oldest continuously inhabited cities in the world.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06923b12081908a09543450b88c24 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c673fe44848190854c36801cc3e5d3 |
completed | March 27, 2026, 12:11 p.m. |
Created at: March 22, 2026, 4:44 p.m.