Triple
T339208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belarusian ruble |
E6795
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object |
BYN
BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
|
E43502
|
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: BYN | Statement: [Belarusian ruble, ISO4217Code, BYN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BYN Context triple: [Belarusian ruble, ISO4217Code, BYN]
-
A.
BnG
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
-
B.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
C.
Bun
Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
-
D.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
E.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
- 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: BYN Triple: [Belarusian ruble, ISO4217Code, BYN]
Generated description
BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BYN Target entity description: BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
-
A.
BnG
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
-
B.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
C.
Bun
Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
-
D.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
E.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae3a27c81909fc7deb600125fb1 |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d4e56b448190aac66218417e95b8 |
completed | March 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69a3d53d4b788190936b3c5f92877c8d |
completed | March 1, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d602aa6881908fbdb4c25e8f8cb5 |
completed | March 1, 2026, 6 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.