Triple
T5001232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FFS |
E112375
|
entity |
| Predicate | hasAbbreviationSetForLanguages |
P35567
|
FINISHED |
| Object |
French CFF
French CFF is the French-language abbreviation used for the Swiss Federal Railways, the national railway company of Switzerland.
|
E485925
|
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: French CFF | Statement: [FFS, hasAbbreviationSetForLanguages, French CFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French CFF Context triple: [FFS, hasAbbreviationSetForLanguages, French CFF]
-
A.
CH-FR
CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
-
B.
Rite Français
Rite Français is a traditional French Masonic rite known for its Enlightenment-era origins and rational, humanistic approach to Masonic symbolism and ritual.
-
C.
The French
The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
-
D.
French Sector
The French Sector is a special area of Geneva Airport that allows direct access to and from France without passing through Swiss customs.
-
E.
CFP franc
The CFP franc is a currency used in several French overseas collectivities in the Pacific, including New Caledonia, French Polynesia, and Wallis and Futuna.
- 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: French CFF Triple: [FFS, hasAbbreviationSetForLanguages, French CFF]
Generated description
French CFF is the French-language abbreviation used for the Swiss Federal Railways, the national railway company of Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: French CFF Target entity description: French CFF is the French-language abbreviation used for the Swiss Federal Railways, the national railway company of Switzerland.
-
A.
CH-FR
CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
-
B.
Rite Français
Rite Français is a traditional French Masonic rite known for its Enlightenment-era origins and rational, humanistic approach to Masonic symbolism and ritual.
-
C.
The French
The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
-
D.
French Sector
The French Sector is a special area of Geneva Airport that allows direct access to and from France without passing through Swiss customs.
-
E.
CFP franc
The CFP franc is a currency used in several French overseas collectivities in the Pacific, including New Caledonia, French Polynesia, and Wallis and Futuna.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77c9fc7c8190b165a5cfd5889ba8 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92598ff88190b63a589524180272 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be9323c5fc819084a4dbf59bab24cd |
completed | March 21, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be93bafdbc8190b7add3fbcc33a317 |
completed | March 21, 2026, 12:48 p.m. |
Created at: March 20, 2026, 1:34 p.m.