Triple
T18017577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtual Warehouse (Snowflake) |
E431032
|
entity |
| Predicate | droppedWith |
P129430
|
FINISHED |
| Object | DROP WAREHOUSE command |
—
|
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: DROP WAREHOUSE command | Statement: [Virtual Warehouse (Snowflake), droppedWith, DROP WAREHOUSE command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: droppedWith Context triple: [Virtual Warehouse (Snowflake), droppedWith, DROP WAREHOUSE command]
-
A.
downDroppedBlock
Indicates that an entity has moved a block from a higher position to a lower one, effectively dropping it downward.
-
B.
drop
Indicates that an entity causes something to fall or be released from a higher position to a lower one.
-
C.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
-
D.
droppedSurname
Indicates that an entity has ceased using a previously held surname, typically by omitting or removing it from their current full name.
-
E.
approximateDrop
Indicates an estimated or roughly calculated decrease in a quantity, value, or level rather than an exact measured drop.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9bf85c08190a40cef4c6d7b566a |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.