Triple
T1931533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS 9 |
E40955
|
entity |
| Predicate | defaultFileSystem |
P10381
|
FINISHED |
| Object | HFS |
E200272
|
NE 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: HFS | Statement: [Mac OS 9, defaultFileSystem, HFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HFS Context triple: [Mac OS 9, defaultFileSystem, HFS]
-
A.
HFS
chosen
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.
JFS
JFS (Journaled File System) is a high-performance journaling file system developed by IBM, known for its scalability, low CPU usage, and reliability on enterprise and Linux systems.
-
C.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
D.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
E.
HF
HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb297ec2c819092ad62d72005223d |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ef29e0819081b37664224dee91 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.