Triple

T8286087
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Paint E193789 entity
Predicate supportsFileFormat P8463 FINISHED
Object BMP
BMP is a simple, uncompressed raster image file format commonly used on Windows systems for storing bitmap graphics.
 E724185 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: BMP | Statement: [Microsoft Paint, supportsFileFormat, BMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMP
Context triple: [Microsoft Paint, supportsFileFormat, BMP]
  • A. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • B. BMP-1
    The BMP-1 is a Soviet-era tracked infantry fighting vehicle introduced in the 1960s, notable for being one of the first mass-produced IFVs combining troop transport with significant onboard firepower.
  • C. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • D. BMD
    BMD is the acronym for the Borders and Maritime Security Division, a U.S. homeland security component focused on safeguarding the nation’s borders and maritime domains through advanced technologies and operational capabilities.
  • E. Tiff
    Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
  • 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: BMP
Triple: [Microsoft Paint, supportsFileFormat, BMP]
Generated description
BMP is a simple, uncompressed raster image file format commonly used on Windows systems for storing bitmap graphics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMP
Target entity description: BMP is a simple, uncompressed raster image file format commonly used on Windows systems for storing bitmap graphics.
  • A. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • B. BMP-1
    The BMP-1 is a Soviet-era tracked infantry fighting vehicle introduced in the 1960s, notable for being one of the first mass-produced IFVs combining troop transport with significant onboard firepower.
  • C. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • D. BMD
    BMD is the acronym for the Borders and Maritime Security Division, a U.S. homeland security component focused on safeguarding the nation’s borders and maritime domains through advanced technologies and operational capabilities.
  • E. Tiff
    Tiff is a common shortened form of the given name Tiffany, often used as a casual or affectionate nickname.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad3722481908076508908d18621 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd688441908190b6b0a39dfb9d87ac completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d55196881909cf5ec925792e09f completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e2bdae08190adc51e904e85695e completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.