Triple
T14439200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | jlink |
E358042
|
entity |
| Predicate | canCompress |
P67298
|
FINISHED |
| Object | resources in runtime image |
—
|
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: resources in runtime image | Statement: [jlink, canCompress, resources in runtime image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canCompress Context triple: [jlink, canCompress, resources in runtime image]
-
A.
hasCompressor
Indicates that one entity is equipped with, contains, or uses a compressor associated with it.
-
B.
supportsCompressedFiles
chosen
Indicates that one entity is capable of handling, reading, or working with files that are stored in a compressed format.
-
C.
compressionType
Indicates the method or format used to compress data or content in the relationship.
-
D.
canExtract
Indicates that one entity has the ability or permission to extract or derive something from another entity or source.
-
E.
compressorType
Indicates the specific kind or category of compressor associated with 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.