Triple

T954919
Position Surface form Disambiguated ID Type / Status
Subject Swiss Federal Railways E20604 entity
Predicate abbreviation P43 FINISHED
Object FFS
FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
 E112375 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: FFS | Statement: [Swiss Federal Railways, abbreviation, FFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FFS
Context triple: [Swiss Federal Railways, abbreviation, FFS]
  • A. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • B. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • C. FFF
    FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
  • D. FAS
    FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
  • E. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • 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: FFS
Triple: [Swiss Federal Railways, abbreviation, FFS]
Generated description
FFS is the commonly used 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: FFS
Target entity description: FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • A. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • B. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • C. FFF
    FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
  • D. FAS
    FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
  • E. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • 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.