Triple
T12516266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gzip |
E299197
|
entity |
| Predicate | archiveBehavior |
P105400
|
FINISHED |
| Object | compresses single files only |
—
|
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: compresses single files only | Statement: [gzip, archiveBehavior, compresses single files only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archiveBehavior Context triple: [gzip, archiveBehavior, compresses single files only]
-
A.
archivePolicy
Indicates the rules or conditions governing how items are stored, retained, and managed in an archive.
-
B.
archiveType
Indicates the classification or category assigned to an archive within a system or collection.
-
C.
archivesModel
Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
-
D.
archivesType
Indicates that one entity serves as an archival record or stored version of another entity, specifying the type or category of that archived content.
-
E.
archiveContent
Indicates that content is being stored or moved into an archive state for long-term retention or historical reference.
- F. None of above. chosen
Provenance (4 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.