Triple
T9758715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tihamah of Saudi Arabia |
E236614
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Al Qunfudhah |
E165497
|
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 Qunfudhah | Statement: [Tihamah of Saudi Arabia, nearbyCity, Al Qunfudhah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Qunfudhah Context triple: [Tihamah of Saudi Arabia, nearbyCity, Al Qunfudhah]
-
A.
Al Qunfudhah
chosen
Al Qunfudhah is a coastal city in western Saudi Arabia on the Red Sea, known as a regional port and commercial center within Makkah Province.
-
B.
Al Khurmah
Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
-
C.
Al Sufouh
Al Sufouh is a coastal district in Dubai known for its mix of residential communities, business hubs, and proximity to major landmarks such as Dubai Marina and Palm Jumeirah.
-
D.
Al-Quway'iyah
Al-Quway'iyah is a town in central Saudi Arabia that serves as an important local center within the Riyadh region.
-
E.
Al Mithnab
Al Mithnab is a town in central Saudi Arabia known as one of the populated localities within the Qassim 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda047d0408190b91f7195513da6e8 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b035c32c8190ad65f3d57d53a317 |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.