Triple
T4123068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Bahrain |
E92658
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Sakhir
Sakhir is a desert area in Bahrain known for hosting major national institutions and events, including universities and the Bahrain International Circuit.
|
E416314
|
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: Sakhir | Statement: [University of Bahrain, locatedIn, Sakhir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakhir Context triple: [University of Bahrain, locatedIn, Sakhir]
-
A.
Al-Doha
Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
-
B.
Kalba
Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
-
C.
Al Rayyan
Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
-
D.
Al Ain
Al Ain is a historic oasis city in the Emirate of Abu Dhabi in the United Arab Emirates, known for its date palm plantations, forts, and role as a cultural and agricultural center.
-
E.
Salalah
Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
- 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: Sakhir Triple: [University of Bahrain, locatedIn, Sakhir]
Generated description
Sakhir is a desert area in Bahrain known for hosting major national institutions and events, including universities and the Bahrain International Circuit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sakhir Target entity description: Sakhir is a desert area in Bahrain known for hosting major national institutions and events, including universities and the Bahrain International Circuit.
-
A.
Al-Doha
Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
-
B.
Kalba
Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
-
C.
Al Rayyan
Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
-
D.
Al Ain
Al Ain is a historic oasis city in the Emirate of Abu Dhabi in the United Arab Emirates, known for its date palm plantations, forts, and role as a cultural and agricultural center.
-
E.
Salalah
Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020728a08190a50a16b40690cbce |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b405548190affdd8bb108995b1 |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577653214819093396a8601e52245 |
completed | March 14, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b57b90cb308190ba102f999795829c |
completed | March 14, 2026, 3:15 p.m. |
Created at: March 9, 2026, 3:41 p.m.