Triple
T1647958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VBA |
E35623
|
entity |
| Predicate | macroStorage |
P1596
|
FINISHED |
| Object | stored inside Office documents |
—
|
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: stored inside Office documents | Statement: [VBA, macroStorage, stored inside Office documents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: macroStorage Context triple: [VBA, macroStorage, stored inside Office documents]
-
A.
macroFamily
Indicates that two or more language families are hypothesized to share a common higher-level genetic origin, forming a larger proposed macro-family grouping.
-
B.
commands
Indicates that one entity holds authority over another and issues directives or orders that the other is expected to follow.
-
C.
macrolanguage
Indicates that a language is classified as a macrolanguage encompassing multiple closely related individual languages or varieties.
-
D.
commandScope
Indicates that one entity defines or limits the range, context, or extent within which another entity’s command or control is valid or applicable.
-
E.
dataStorage
chosen
Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.