Triple
T321997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HFS Plus |
E6431
|
entity |
| Predicate | metadataStorage |
P1596
|
FINISHED |
| Object | catalog file |
—
|
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: catalog file | Statement: [HFS Plus, metadataStorage, catalog file]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metadataStorage Context triple: [HFS Plus, metadataStorage, catalog file]
-
A.
dataStorage
chosen
Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
-
B.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
C.
hibernates
Indicates that an entity spends a prolonged period in a dormant, low-activity state, typically to survive unfavorable environmental conditions.
-
D.
preservedAt
Indicates that something is kept, maintained, or conserved in a particular place or context.
-
E.
markType
Indicates the specific category or kind of mark associated with or applied to an entity.
- 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.