Triple
T16176322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Bank of Oman |
E392572
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Research and Statistics Department
The Research and Statistics Department is a key analytical unit of the Central Bank of Oman responsible for economic research, data collection, and statistical analysis to support monetary policy and financial decision-making.
|
E1197132
|
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: Research and Statistics Department | Statement: [Central Bank of Oman, hasPart, Research and Statistics Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Research and Statistics Department Context triple: [Central Bank of Oman, hasPart, Research and Statistics Department]
-
A.
Revenue and Statistics Department
The Revenue and Statistics Department is a specialized unit within the India Office responsible for compiling, analyzing, and reporting financial and statistical data related to its operations.
-
B.
Department of Statistics
The Department of Statistics at the University of Warwick is a leading academic department specializing in statistical theory, methodology, and applications, known for its strong research output and high-quality teaching.
-
C.
Department of Statistics
The Department of Statistics at Savitribai Phule Pune University is an academic unit dedicated to education and research in statistical theory, methods, and applications.
-
D.
Department of Statistics
The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within the broader Faculty of Mathematics, Informatics and Statistics.
-
E.
Department of Statistics
The Department of Statistics at Seoul National University is an academic unit specializing in statistical theory, methods, and applications within the College of Natural Sciences.
- 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: Research and Statistics Department Triple: [Central Bank of Oman, hasPart, Research and Statistics Department]
Generated description
The Research and Statistics Department is a key analytical unit of the Central Bank of Oman responsible for economic research, data collection, and statistical analysis to support monetary policy and financial decision-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Research and Statistics Department Target entity description: The Research and Statistics Department is a key analytical unit of the Central Bank of Oman responsible for economic research, data collection, and statistical analysis to support monetary policy and financial decision-making.
-
A.
Revenue and Statistics Department
The Revenue and Statistics Department is a specialized unit within the India Office responsible for compiling, analyzing, and reporting financial and statistical data related to its operations.
-
B.
Department of Statistics
The Department of Statistics at the University of Warwick is a leading academic department specializing in statistical theory, methodology, and applications, known for its strong research output and high-quality teaching.
-
C.
Department of Statistics
The Department of Statistics at Savitribai Phule Pune University is an academic unit dedicated to education and research in statistical theory, methods, and applications.
-
D.
Department of Statistics
The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within the broader Faculty of Mathematics, Informatics and Statistics.
-
E.
Department of Statistics
The Department of Statistics at Seoul National University is an academic unit specializing in statistical theory, methods, and applications within the College of Natural Sciences.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21ebb7d048190beba4b584f87d5b0 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7c11bc881909211a668f48092aa |
completed | May 10, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fff83b56288190a139f6fbf7b4d1b3 |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff89eb66481909441b9bdfcada550 |
completed | May 10, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:02 a.m.