Triple
T12761114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban convertible peso |
E304996
|
entity |
| Predicate | symbol |
P129
|
FINISHED |
| Object |
CUC$
CUC$ is the currency symbol formerly used to denote the Cuban convertible peso, a now-discontinued currency that once circulated alongside the Cuban peso.
|
E1001854
|
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: CUC$ | Statement: [Cuban convertible peso, symbol, CUC$]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUC$ Context triple: [Cuban convertible peso, symbol, CUC$]
-
A.
CUC
CUC is the national organization representing Unitarian and Unitarian Universalist congregations across Canada, providing support, resources, and coordination for their religious and social justice activities.
-
B.
CUCS
CUCS is a health sciences university center of the University of Guadalajara in Mexico, focused on education and research in medical and related disciplines.
-
C.
CUCSH
CUCSH is a university center in Mexico focused on social sciences and humanities education and research.
-
D.
CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
-
E.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CUC$ Triple: [Cuban convertible peso, symbol, CUC$]
Generated description
CUC$ is the currency symbol formerly used to denote the Cuban convertible peso, a now-discontinued currency that once circulated alongside the Cuban peso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CUC$ Target entity description: CUC$ is the currency symbol formerly used to denote the Cuban convertible peso, a now-discontinued currency that once circulated alongside the Cuban peso.
-
A.
CUC
CUC is the national organization representing Unitarian and Unitarian Universalist congregations across Canada, providing support, resources, and coordination for their religious and social justice activities.
-
B.
CUCS
CUCS is a health sciences university center of the University of Guadalajara in Mexico, focused on education and research in medical and related disciplines.
-
C.
CUCSH
CUCSH is a university center in Mexico focused on social sciences and humanities education and research.
-
D.
CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
-
E.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f08fac8190b8c480619696bcd1 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:28 p.m.