Triple
T26347642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corel WordPerfect Office |
E662818
|
entity |
| Predicate | previousOperatingSystemSupport |
P16239
|
FINISHED |
| Object | macOS |
—
|
NE NERFINISHED |
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: macOS | Statement: [Corel WordPerfect Office, previousOperatingSystemSupport, macOS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousOperatingSystemSupport Context triple: [Corel WordPerfect Office, previousOperatingSystemSupport, macOS]
-
A.
previouslySupportedHardware
Indicates that the subject hardware was supported in the past but is no longer currently supported.
-
B.
usedByOperatingSystems
chosen
Indicates that something (such as a component, standard, or feature) is utilized or supported by one or more operating systems.
-
C.
operatesSystem
Indicates that an entity actively controls, manages, or runs a particular system.
-
D.
operatingSystem
Indicates that one entity is the operating system running on, or used by, another entity.
-
E.
operatingSystemWorkedOn
Indicates that an entity has worked on developing, maintaining, or contributing to a particular operating system.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 26, 2026, 10:43 p.m.