Triple
T321981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HFS Plus |
E6431
|
entity |
| Predicate | blockAllocationStructure |
P5886
|
FINISHED |
| Object | B-tree |
—
|
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: B-tree | Statement: [HFS Plus, blockAllocationStructure, B-tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blockAllocationStructure Context triple: [HFS Plus, blockAllocationStructure, B-tree]
-
A.
allocates
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
-
B.
estimatedNumberOfBlocks
Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
-
C.
viaStructure
chosen
Indicates that one entity is connected to or accessed through a particular structural element or medium.
-
D.
grantStructure
Indicates that an entity provides or defines the organizational or structural framework for another entity or process.
-
E.
ownershipStructure
Indicates how ownership or control is distributed among entities within an organization or asset.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.