Triple
T12603082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Bank of the Congo |
E300906
|
entity |
| Predicate | ISO4217CurrencyCode |
P208
|
FINISHED |
| Object |
CDF
CDF is the official currency code for the Congolese franc, the legal tender of the Democratic Republic of the Congo.
|
E993924
|
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: CDF | Statement: [Central Bank of the Congo, ISO4217CurrencyCode, CDF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDF Context triple: [Central Bank of the Congo, ISO4217CurrencyCode, CDF]
-
A.
CDF
CDF (Collider Detector at Fermilab) was a major particle physics experiment at the Tevatron collider that made key discoveries about the top quark and precision measurements of the Standard Model.
-
B.
CDF
CDF is the commonly used abbreviation for the Chief of the Defence Force, the professional head of a nation's armed forces.
-
C.
CDF
CDF is the National Rail station code for Cardiff Central railway station, a major transport hub in Cardiff, Wales.
-
D.
CEF
CEF is the commonly used acronym for the French Bishops' Conference, the official assembly of Catholic bishops in France.
-
E.
CEF
CEF is the IATA airport code for Westover Metropolitan Airport, a public and military airfield in Chicopee, Massachusetts, United States.
- 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: CDF Triple: [Central Bank of the Congo, ISO4217CurrencyCode, CDF]
Generated description
CDF is the official currency code for the Congolese franc, the legal tender of the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CDF Target entity description: CDF is the official currency code for the Congolese franc, the legal tender of the Democratic Republic of the Congo.
-
A.
CDF
CDF is the National Rail station code for Cardiff Central railway station, a major transport hub in Cardiff, Wales.
-
B.
CDF
CDF (Collider Detector at Fermilab) was a major particle physics experiment at the Tevatron collider that made key discoveries about the top quark and precision measurements of the Standard Model.
-
C.
CDF
CDF is the commonly used abbreviation for the Chief of the Defence Force, the professional head of a nation's armed forces.
-
D.
CEF
CEF is the commonly used acronym for the French Bishops' Conference, the official assembly of Catholic bishops in France.
-
E.
CEF
CEF is the IATA airport code for Westover Metropolitan Airport, a public and military airfield in Chicopee, Massachusetts, United States.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecb09e481909d688f174372dde7 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fd6fa8c819094a31f8c2d8ee72d |
completed | May 2, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 9, 2026, 5:10 p.m.