Triple
T25372137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rio window system |
E632957
|
entity |
| Predicate | inputModel |
P535
|
FINISHED |
| Object | mouse-centric |
—
|
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: mouse-centric | Statement: [rio window system, inputModel, mouse-centric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputModel Context triple: [rio window system, inputModel, mouse-centric]
-
A.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
-
B.
input
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
C.
inputShape
Indicates the geometric form or configuration that is provided as input to a process, function, or system.
-
D.
dataModel
chosen
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
E.
inputIs
Indicates that one entity serves as the input or provided value to another entity, process, or function.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:38 p.m.