Triple
T31847827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devices and Printers |
E812986
|
entity |
| Predicate | representsDevicesAs |
P72867
|
FINISHED |
| Object | icons |
—
|
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: icons | Statement: [Devices and Printers, representsDevicesAs, icons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsDevicesAs Context triple: [Devices and Printers, representsDevicesAs, icons]
-
A.
deviceRepresents
Indicates that one device stands for, symbolizes, or serves as a representation of another entity or concept.
-
B.
representsAs
chosen
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
C.
portraysDevice
Indicates that one entity visually represents or depicts a device in some medium or context.
-
D.
includesDevices
Indicates that one entity contains, encompasses, or has as part of it one or more devices.
-
E.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: April 30, 2026, 11:50 p.m.