Triple

T3305041
Position Surface form Disambiguated ID Type / Status
Subject Federal Protective Service E69427 entity
Predicate hasAbbreviation P43 FINISHED
Object FPS
FPS is the abbreviation for the Federal Protective Service, a U.S. agency responsible for protecting federal government facilities and their occupants.
 E347750 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: FPS | Statement: [Federal Protective Service, hasAbbreviation, FPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FPS
Context triple: [Federal Protective Service, hasAbbreviation, FPS]
  • A. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • B. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • C. Speedvision
    Speedvision was a U.S. cable television network focused on motorsports and automotive programming, which later rebranded as Speed Channel.
  • D. FFR
    FFR is the commonly used abbreviation for the French Rugby Federation, the governing body for rugby union in France.
  • E. Speed
    Speed is a 1994 action thriller film starring Keanu Reeves and Sandra Bullock, centered on a city bus that will explode if its speed drops below 50 miles per hour.
  • 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: FPS
Triple: [Federal Protective Service, hasAbbreviation, FPS]
Generated description
FPS is the abbreviation for the Federal Protective Service, a U.S. agency responsible for protecting federal government facilities and their occupants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FPS
Target entity description: FPS is the abbreviation for the Federal Protective Service, a U.S. agency responsible for protecting federal government facilities and their occupants.
  • A. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • B. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • C. Speedvision
    Speedvision was a U.S. cable television network focused on motorsports and automotive programming, which later rebranded as Speed Channel.
  • D. FFR
    FFR is the commonly used abbreviation for the French Rugby Federation, the governing body for rugby union in France.
  • E. Speed
    Speed is a 1994 action thriller film starring Keanu Reeves and Sandra Bullock, centered on a city bus that will explode if its speed drops below 50 miles per hour.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c8179081908a2595d1fdb7560a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e383088190a056ca793ebf4ffe completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2f9fb060881909dd940c69cf4a12e completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b3137bf988819080cef6c1946ec622 completed March 12, 2026, 7:26 p.m.
Created at: March 8, 2026, 3:11 p.m.