Triple
T321982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HFS Plus |
E6431
|
entity |
| Predicate | directoryStructure |
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, directoryStructure, B-tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directoryStructure Context triple: [HFS Plus, directoryStructure, B-tree]
-
A.
viaStructure
chosen
Indicates that one entity is connected to or accessed through a particular structural element or medium.
-
B.
namingStructure
Indicates a relationship where one entity defines, organizes, or constrains the naming or label format used for another entity.
-
C.
officeHierarchy
Indicates a reporting or supervisory relationship between positions within an office, defining who is above or below whom in the organizational chain of command.
-
D.
hasOrganizationalStructure
Indicates that an entity possesses a defined internal arrangement of roles, responsibilities, and relationships that determine how it is organized and operates.
-
E.
corporateStructure
Indicates how entities are organized, controlled, and related within a corporate hierarchy or ownership structure.
- 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.