Triple
T28612279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People app on Windows 10 Mobile |
E724194
|
entity |
| Predicate | preinstalled |
P8873
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [People app on Windows 10 Mobile, preinstalled, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preinstalled Context triple: [People app on Windows 10 Mobile, preinstalled, true]
-
A.
preinstalledOn
chosen
Indicates that a software or component comes already installed and ready to use on a particular device or system before the user receives it.
-
B.
installedFor
Indicates that something has been set up or put in place to be used by or on behalf of a particular entity.
-
C.
installedPower
Indicates the total nominal power capacity that has been set up or equipped for use in a system, device, or facility.
-
D.
installedInstrument
Indicates that one entity has placed or set up another entity as an instrument or device for use in a particular context or system.
-
E.
installedNear
Indicates that one entity is installed in physical proximity to another entity, typically within a short, functionally relevant distance.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:30 a.m.