Triple
T4833486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inception architecture |
E107999
|
entity |
| Predicate | typicalInputDomain |
P24492
|
FINISHED |
| Object | natural images |
—
|
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: natural images | Statement: [Inception architecture, typicalInputDomain, natural images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInputDomain Context triple: [Inception architecture, typicalInputDomain, natural images]
-
A.
typicalDomain
chosen
Indicates that one entity is the characteristic or most common domain, context, or area of application in which another entity typically occurs or is used.
-
B.
inputDomain
Indicates that a function, process, or system accepts inputs belonging to a specified domain or set of allowable values.
-
C.
standardDomain
Indicates that something belongs to, or is defined within, the usual or default domain of discourse or applicability for a given context.
-
D.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
-
E.
primaryInput
Indicates that an entity serves as the main or principal input to a process, system, or operation.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.