Triple
T216759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss franc |
E4121
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object |
CHF
CHF is the official currency code for the Swiss franc, the national currency of Switzerland and Liechtenstein.
|
E27703
|
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: CHF | Statement: [Swiss franc, ISO4217Code, CHF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHF Context triple: [Swiss franc, ISO4217Code, CHF]
-
A.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
B.
HRS
HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
-
C.
HAV
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
D.
CHOP
CHOP is a leading pediatric hospital and research institution in Philadelphia renowned for its specialized care for children and groundbreaking medical research.
-
E.
HCR
HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
- 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: CHF Triple: [Swiss franc, ISO4217Code, CHF]
Generated description
CHF is the official currency code for the Swiss franc, the national currency of Switzerland and Liechtenstein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CHF Target entity description: CHF is the official currency code for the Swiss franc, the national currency of Switzerland and Liechtenstein.
-
A.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
B.
HRS
HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
-
C.
HAV
HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
D.
CHOP
CHOP is a leading pediatric hospital and research institution in Philadelphia renowned for its specialized care for children and groundbreaking medical research.
-
E.
HCR
HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4edfa081909fe97c86c3c7801d |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3441cc15c8190910b1b9e5dbb4910 |
completed | Feb. 28, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_69a344e390f4819090ec79beb681310a |
completed | Feb. 28, 2026, 7:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34551abac8190a1d3f2fc3f783c71 |
completed | Feb. 28, 2026, 7:43 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.