Triple
T17558716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL*Plus |
E427645
|
entity |
| Predicate | typicalFileExtensionForScripts |
P79626
|
FINISHED |
| Object | .sql |
—
|
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: .sql | Statement: [SQL*Plus, typicalFileExtensionForScripts, .sql]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFileExtensionForScripts Context triple: [SQL*Plus, typicalFileExtensionForScripts, .sql]
-
A.
scriptFileExtension
chosen
Indicates the file extension used for a script associated with an entity or system.
-
B.
appliesToScript
Indicates that something (such as a rule, configuration, or operation) is specifically relevant or applicable to a given script.
-
C.
typicalFileType
Indicates that one entity is the usual or commonly associated file type for the other entity.
-
D.
fileExtensionForGadgets
Indicates the file extension that is associated with or used by a given gadget.
-
E.
typicalFileFormat
Indicates the usual or standard file format typically associated with or used for a given entity or context.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45624bfe08190991dc088394a5af4 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.