Triple
T954918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Federal Railways |
E20604
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CFF
CFF is the French-language abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
|
E112374
|
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: CFF | Statement: [Swiss Federal Railways, abbreviation, CFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFF Context triple: [Swiss Federal Railways, abbreviation, CFF]
-
A.
FFC
FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
-
B.
CCCF
CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
-
C.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
D.
CAF
CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
-
E.
CAF
CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
- 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: CFF Triple: [Swiss Federal Railways, abbreviation, CFF]
Generated description
CFF is the French-language abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CFF Target entity description: CFF is the French-language abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
-
A.
FFC
FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
-
B.
CCCF
CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
-
C.
CAF
CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
-
D.
CAF
CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
-
E.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f7a7608190b8a8dd2486654bec |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933b00a58819084164f3dd3ecb070 |
completed | March 5, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69a963a5b8648190b21d9edaf3d053d2 |
completed | March 5, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a9641f3a5c81908894097ab2177c43 |
completed | March 5, 2026, 11:08 a.m. |
Created at: March 1, 2026, 7:40 p.m.