Triple
T27799200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCFile |
E702193
|
entity |
| Predicate | compressionGranularity |
P163367
|
FINISHED |
| Object | per column within a row group |
—
|
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: per column within a row group | Statement: [RCFile, compressionGranularity, per column within a row group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compressionGranularity Context triple: [RCFile, compressionGranularity, per column within a row group]
-
A.
compressionMode
Indicates the specific method or setting used to compress data or content in a given context.
-
B.
compressionType
Indicates the method or format used to compress data or content in the relationship.
-
C.
compressionLoss
Indicates that some amount of information, quality, or fidelity is lost as a result of a compression process.
-
D.
compressionGoal
Indicates the target level or outcome of data size reduction that a compression process aims to achieve.
-
E.
scalingGranularity
Indicates the level of detail or resolution at which a quantity, process, or system is adjusted or scaled.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6380de8908190bbeb5fd0e5bb80ab |
completed | May 2, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:33 p.m.