Triple
T17676111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fish shell |
E440645
|
entity |
| Predicate | supportsJobControl |
P86208
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Fish shell, supportsJobControl, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsJobControl Context triple: [Fish shell, supportsJobControl, yes]
-
A.
supportsJobControlLanguage
Indicates that one entity provides compatibility with or the ability to execute and manage operations defined in a job control language for another entity.
-
B.
supportsMultiprogramming
chosen
Indicates that a system, component, or environment is capable of executing or managing multiple programs or processes concurrently.
-
C.
supportsCommand
Indicates that one entity is capable of recognizing, accepting, or executing a specified command associated with another entity.
-
D.
supportsCommandAndControl
Indicates that an entity enables, facilitates, or maintains command-and-control functions for another entity or operation.
-
E.
supportsSuspension
Indicates that one entity provides the necessary structure, strength, or mechanism to hold or keep another entity suspended.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10 a.m.