Triple
T12916843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qadisiyyah Governorate |
E309007
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Al Diwaniyah |
E385054
|
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 Diwaniyah | Statement: [Qadisiyyah Governorate, hasMajorCity, Al Diwaniyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Diwaniyah Context triple: [Qadisiyyah Governorate, hasMajorCity, Al Diwaniyah]
-
A.
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.
-
B.
Diwaniyah
chosen
Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
-
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-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.
-
E.
Dhahran
Dhahran is a major city in Saudi Arabia’s Eastern Province known for its role as a center of the country’s oil industry and the headquarters of Saudi Aramco.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d101e08190b31d6aaaecf96507 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:41 p.m.