Triple
T815581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unix shell |
E17645
|
entity |
| Predicate | typicalFileExtension |
P5375
|
FINISHED |
| Object | .sh |
—
|
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: .sh | Statement: [Unix shell, typicalFileExtension, .sh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFileExtension Context triple: [Unix shell, typicalFileExtension, .sh]
-
A.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
B.
hasFileExtension
chosen
Indicates that one entity (typically a file) possesses a specific file extension denoting its type or format.
-
C.
typicalKey
Indicates that the referenced key is the standard or most commonly used key associated with an entity or context.
-
D.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
-
E.
extension
Indicates that one entity is a lengthening, continuation, or added part of another entity beyond its original limits.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5157b08190b6c8f2fd455f261e |
completed | March 1, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69a4aa756920819080ae82948974c876 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.