Triple
T1724663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAT16 |
E37469
|
entity |
| Predicate | metadataStoredIn |
P1596
|
FINISHED |
| Object |
FAT tables
FAT tables are data structures used by the File Allocation Table (FAT) file system to track the allocation and organization of files on a storage device.
|
E195200
|
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: FAT tables | Statement: [FAT16, metadataStoredIn, FAT tables]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAT tables Context triple: [FAT16, metadataStoredIn, FAT tables]
-
A.
FAT16
FAT16 is an older 16-bit File Allocation Table file system widely used on early DOS and Windows systems, known for its simplicity and limitations in maximum partition and file sizes.
-
B.
FAT32
FAT32 is a widely used 32-bit file system format developed by Microsoft, commonly employed on older Windows systems and removable storage devices for broad compatibility.
-
C.
VFAT
VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
-
D.
FAT
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
E.
FAT
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
- 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: FAT tables Triple: [FAT16, metadataStoredIn, FAT tables]
Generated description
FAT tables are data structures used by the File Allocation Table (FAT) file system to track the allocation and organization of files on a storage device.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAT tables Target entity description: FAT tables are data structures used by the File Allocation Table (FAT) file system to track the allocation and organization of files on a storage device.
-
A.
FAT16
FAT16 is an older 16-bit File Allocation Table file system widely used on early DOS and Windows systems, known for its simplicity and limitations in maximum partition and file sizes.
-
B.
FAT32
FAT32 is a widely used 32-bit file system format developed by Microsoft, commonly employed on older Windows systems and removable storage devices for broad compatibility.
-
C.
VFAT
VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
-
D.
FAT
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
E.
FAT
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abaffc4e5c81908ce0b9cfe833445e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aefefc881908acd48eebc67c6ec |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad979ce880819089daecbc8455ec84 |
completed | March 8, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9ba92a848190918a8748fb65348a |
completed | March 8, 2026, 3:54 p.m. |
Created at: March 4, 2026, 7:30 p.m.