Triple
T7664098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Bank of Solomon Islands |
E173584
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CBSI
CBSI is the central banking authority responsible for monetary policy, financial stability, and currency issuance in the Solomon Islands.
|
E679842
|
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: CBSI | Statement: [Central Bank of Solomon Islands, hasAbbreviation, CBSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBSI Context triple: [Central Bank of Solomon Islands, hasAbbreviation, CBSI]
-
A.
CBS Television Stations
CBS Television Stations is a group of American broadcast television stations that serve as the owned-and-operated local outlets for the CBS television network.
-
B.
CBS
CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
-
C.
CBS
CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
-
D.
CBS
CBS is a Harvard University research center dedicated to advancing the understanding of the brain through interdisciplinary neuroscience studies.
-
E.
CBS
CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
- 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: CBSI Triple: [Central Bank of Solomon Islands, hasAbbreviation, CBSI]
Generated description
CBSI is the central banking authority responsible for monetary policy, financial stability, and currency issuance in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CBSI Target entity description: CBSI is the central banking authority responsible for monetary policy, financial stability, and currency issuance in the Solomon Islands.
-
A.
CBS Television Stations
CBS Television Stations is a group of American broadcast television stations that serve as the owned-and-operated local outlets for the CBS television network.
-
B.
CBS
CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
-
C.
CBS
CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
-
D.
CBS
CBS is the National Rail station code assigned to Coatbridge Sunnyside railway station in North Lanarkshire, Scotland.
-
E.
CBS
CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a868bc8190b975cae769e23546 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b1fdccc8190a69b4745dc3b2347 |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89d513af88190b453bf3bf1adcbfb |
completed | March 29, 2026, 3:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89ddd81a88190924d41529e94b06b |
completed | March 29, 2026, 3:34 a.m. |
Created at: March 27, 2026, 4 p.m.