Triple
T8286122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notepad |
E193790
|
entity |
| Predicate | supportsFileExtension |
P24486
|
FINISHED |
| Object | .txt |
—
|
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: .txt | Statement: [Notepad, supportsFileExtension, .txt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFileExtension Context triple: [Notepad, supportsFileExtension, .txt]
-
A.
hasFileExtension
Indicates that one entity (typically a file) possesses a specific file extension denoting its type or format.
-
B.
supportsExtensionsFrom
Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
-
C.
supportsExtentsForFiles
Indicates that a system or component provides support for managing or using extent-based storage structures specifically for files.
-
D.
supportsType
chosen
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
E.
supportsExtensionModel
Indicates that one entity provides compatibility or functionality for using a specified extension model associated with another entity.
- 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_69cb7ad3722481908076508908d18621 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.