Triple

T19598205
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Loeffler Institute E470401 entity
Predicate abbreviation P43 FINISHED
Object FLI
FLI is Germany’s national research institute for animal health, focusing on the study and control of infectious diseases in livestock and other animals.
 E1384908 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: FLI | Statement: [Friedrich Loeffler Institute, abbreviation, FLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FLI
Context triple: [Friedrich Loeffler Institute, abbreviation, FLI]
  • A. FLS
    FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
  • B. FLS
    FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
  • C. LFLI
    LFLI is the ICAO airport code for Annemasse Aerodrome, a small regional airfield serving the Annemasse area in southeastern France near the Swiss border.
  • D. FLR
    FLR is the New York Stock Exchange ticker symbol for Fluor Corporation, a global engineering, procurement, construction, and maintenance services company.
  • E. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • 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: FLI
Triple: [Friedrich Loeffler Institute, abbreviation, FLI]
Generated description
FLI is Germany’s national research institute for animal health, focusing on the study and control of infectious diseases in livestock and other animals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FLI
Target entity description: FLI is Germany’s national research institute for animal health, focusing on the study and control of infectious diseases in livestock and other animals.
  • A. FLS
    FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
  • B. FLS
    FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
  • C. LFLI
    LFLI is the ICAO airport code for Annemasse Aerodrome, a small regional airfield serving the Annemasse area in southeastern France near the Swiss border.
  • D. FLR
    FLR is the New York Stock Exchange ticker symbol for Fluor Corporation, a global engineering, procurement, construction, and maintenance services company.
  • E. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407c52c081908704d3a4dd6e853b completed April 20, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1be2d48190a1beec726ea4e410 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fde0d8c8190aefc4a06beda2c79 completed May 15, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a076039f7188190add1c65a4a9e32ce completed May 15, 2026, 6:04 p.m.
Created at: April 10, 2026, 1:43 p.m.