Triple
T6429490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nejd |
E128143
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Diriyah |
E46927
|
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: Diriyah | Statement: [Nejd, contains, Diriyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diriyah Context triple: [Nejd, contains, Diriyah]
-
A.
Diriyah
chosen
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.
-
B.
Nasiriyah
Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
-
C.
Riyadh
Riyadh is the capital and largest city of Saudi Arabia, serving as a major political, economic, and cultural center in the Arab world.
-
D.
Diwaniyah
Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
-
E.
Al-Uqair
Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
- 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_69c67c3f115481909879d637fc231556 |
completed | March 27, 2026, 12:46 p.m. |
Created at: March 22, 2026, 4:44 p.m.