Triple
T26243954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar system |
E656390
|
entity |
| Predicate | usedOnHardwarePlatform |
P12178
|
FINISHED |
| Object | Xerox workstation |
—
|
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: Xerox workstation | Statement: [Cedar system, usedOnHardwarePlatform, Xerox workstation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnHardwarePlatform Context triple: [Cedar system, usedOnHardwarePlatform, Xerox workstation]
-
A.
usedOnPlatformType
Indicates that something is utilized or operates on a specific type of platform.
-
B.
usedByPlatform
Indicates that something (such as a tool, component, or resource) is utilized or employed by a particular platform.
-
C.
runsOnHardware
chosen
Indicates that a system, software, or process operates using or is executed on a specified hardware platform.
-
D.
hardwarePlatformFor
Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
-
E.
worksOnPlatform
Indicates that an entity performs its functions, operations, or activities using or within a specified platform.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dc4aa808190ba3b5682944a7fb8 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 9:04 p.m.