Triple
T8483307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS/390 |
E200569
|
entity |
| Predicate | supportsFileSystem |
P203
|
FINISHED |
| Object |
HFS
HFS is the Hierarchical File System used on IBM mainframe operating systems like OS/390 to provide a UNIX-style directory and file structure.
|
E736222
|
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: HFS | Statement: [OS/390, supportsFileSystem, HFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HFS Context triple: [OS/390, supportsFileSystem, HFS]
-
A.
HFS
HFS (Hierarchical File System) is a classic file system developed by Apple for early Macintosh computers, organizing data in a tree-structured hierarchy with support for resource forks and metadata.
-
B.
HFS
HFS is a Unix file system used by HP-UX for managing and organizing data on disk storage.
-
C.
HFiles
HFiles are the immutable, sorted, file-based storage format used by Apache HBase to persist table data efficiently on disk.
-
D.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
-
E.
SFS
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
- 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: HFS Triple: [OS/390, supportsFileSystem, HFS]
Generated description
HFS is the Hierarchical File System used on IBM mainframe operating systems like OS/390 to provide a UNIX-style directory and file structure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HFS Target entity description: HFS is the Hierarchical File System used on IBM mainframe operating systems like OS/390 to provide a UNIX-style directory and file structure.
-
A.
HFS
HFS (Hierarchical File System) is a classic file system developed by Apple for early Macintosh computers, organizing data in a tree-structured hierarchy with support for resource forks and metadata.
-
B.
HFS
HFS is a Unix file system used by HP-UX for managing and organizing data on disk storage.
-
C.
HFiles
HFiles are the immutable, sorted, file-based storage format used by Apache HBase to persist table data efficiently on disk.
-
D.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
-
E.
SFS
SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a348a8481908a72c7ac15605022 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b56c3d881909468c3304e84cdb8 |
completed | April 2, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3c2579a08190af15d40d4bf7bb9f |
completed | April 2, 2026, 9:51 a.m. |
Created at: March 30, 2026, 6:12 p.m.