Triple
T3938776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Managua |
E90980
|
entity |
| Predicate | operatingSystemUsage |
P16239
|
FINISHED |
| Object | used in Unix-like operating systems |
—
|
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: used in Unix-like operating systems | Statement: [America/Managua, operatingSystemUsage, used in Unix-like operating systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingSystemUsage Context triple: [America/Managua, operatingSystemUsage, used in Unix-like operating systems]
-
A.
operatingSystem
Indicates that one entity is the operating system running on, or used by, another entity.
-
B.
operatesSystem
Indicates that an entity actively controls, manages, or runs a particular system.
-
C.
operatorSystem
Indicates a relationship where one entity functions as the operating system that manages or controls another entity (such as a device, application, or system).
-
D.
usedByOperatingSystems
chosen
Indicates that something (such as a component, standard, or feature) is utilized or supported by one or more operating systems.
-
E.
platformUsage
Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.