Triple
T8289580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVI |
E193860
|
entity |
| Predicate | fileExtensionType |
P5375
|
FINISHED |
| Object | filename extension |
—
|
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: filename extension | Statement: [AVI, fileExtensionType, filename extension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileExtensionType Context triple: [AVI, fileExtensionType, filename extension]
-
A.
fileTypeMasquerade
Indicates that a file is presented or labeled as one type while actually being of a different underlying type.
-
B.
fileTypeIIDMeaning
Indicates that the predicate specifies the meaning or interpretation associated with a particular file type identifier (IID).
-
C.
fileTypeCIDMeaning
Indicates the specific meaning or interpretation associated with a file type identified by its CID (Content Identifier).
-
D.
hasFileExtension
chosen
Indicates that one entity (typically a file) possesses a specific file extension denoting its type or format.
-
E.
fileExtensionForGadgets
Indicates the file extension that is associated with or used by a given gadget.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c99fdd48190a3f304237be609a0 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:52 p.m.