Triple
T28188870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPFS |
E716246
|
entity |
| Predicate | partitionTypeCode |
P133016
|
FINISHED |
| Object | 0x07 on MBR partitions (shared with NTFS in later systems) |
—
|
LITERAL 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: 0x07 on MBR partitions (shared with NTFS in later systems) | Statement: [HPFS, partitionTypeCode, 0x07 on MBR partitions (shared with NTFS in later systems)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partitionTypeCode Context triple: [HPFS, partitionTypeCode, 0x07 on MBR partitions (shared with NTFS in later systems)]
-
A.
partitionScheme
Indicates how a whole is divided into distinct parts or segments according to a specific organizing scheme.
-
B.
partCType
Indicates that an entity is classified as a specific subtype or category of a larger part or component.
-
C.
partitionProperty
chosen
Indicates that a specified property defines how a set or resource is divided into distinct partitions or segments.
-
D.
partitionOf
Indicates that one entity represents a subdivision or component segment of another entity, such that together similar entities collectively form the whole.
-
E.
partBType
Indicates that one entity is classified as the type or category to which the second entity (part B) belongs.
- F. None of above.
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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 10:24 p.m.