Triple
T8867160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Province |
E211046
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Al Nairyah
Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
|
E764097
|
NE FINISHED |
How this triple was built (4 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 Nairyah | Statement: [Eastern Province, containsCity, Al Nairyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Nairyah Context triple: [Eastern Province, containsCity, Al Nairyah]
-
A.
Al Twar
Al Twar is a residential and commercial locality in eastern Dubai, United Arab Emirates, known for its community facilities and proximity to major transport links.
-
B.
Nad Al Sheba
Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
-
C.
Al Ras
Al Ras is one of Dubai’s oldest commercial districts, known for its traditional markets, historic streets, and proximity to Dubai Creek.
-
D.
Umm al-Ghanam
Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
-
E.
Adh-Dhahiriya
Adh-Dhahiriya is a Palestinian town in the southern West Bank known for its historic cave dwellings and agricultural character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Al Nairyah Triple: [Eastern Province, containsCity, Al Nairyah]
Generated description
Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Nairyah Target entity description: Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
-
A.
Al Twar
Al Twar is a residential and commercial locality in eastern Dubai, United Arab Emirates, known for its community facilities and proximity to major transport links.
-
B.
Nad Al Sheba
Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
-
C.
Al Ras
Al Ras is one of Dubai’s oldest commercial districts, known for its traditional markets, historic streets, and proximity to Dubai Creek.
-
D.
Umm al-Ghanam
Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
-
E.
Adh-Dhahiriya
Adh-Dhahiriya is a Palestinian town in the southern West Bank known for its historic cave dwellings and agricultural character.
- F. None of above. chosen
Provenance (5 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6108530c819084559f4de669ce20 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab9764388190a57ca0c0bb890523 |
completed | April 3, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:51 p.m.