Triple
T33436854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GeoPackage |
E856256
|
entity |
| Predicate | storesAllContentInSingleFile |
P176622
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [GeoPackage, storesAllContentInSingleFile, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storesAllContentInSingleFile Context triple: [GeoPackage, storesAllContentInSingleFile, true]
-
A.
archiveContent
Indicates that content is being stored or moved into an archive state for long-term retention or historical reference.
-
B.
storesLongFilenamesIn
Indicates that an entity is capable of saving or maintaining long filenames within a specified storage medium or structure.
-
C.
storesVersionedFilesIn
Indicates that an entity keeps and manages files in a location or system where multiple versions of those files are stored and tracked over time.
-
D.
storageFormat
Indicates the specific way in which data or content is physically or logically organized, encoded, and stored.
-
E.
archiveFor
Indicates that one entity serves as a storage or preservation repository specifically for the records, documents, or data of another entity.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:36 a.m.