Triple
T8471358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Paint |
E200287
|
entity |
| Predicate | supportsFileFormat |
P8463
|
FINISHED |
| Object | BMP |
E724185
|
NE FINISHED |
How this triple was built (2 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
chosen
BMP is a simple, uncompressed raster image file format commonly used on Windows systems for storing bitmap graphics.
-
C.
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.
-
D.
DIB
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39fc9bf481908e37919b13465d18 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.