Triple
T2703855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Generative Adversarial Networks |
E59296
|
entity |
| Predicate | typicalDataType |
P33715
|
FINISHED |
| Object | 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: images | Statement: [Generative Adversarial Networks, typicalDataType, images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDataType Context triple: [Generative Adversarial Networks, typicalDataType, images]
-
A.
dataTypes
chosen
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
B.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
C.
typicalCoreType
Indicates that something is a standard or characteristic core type within a given classification or system.
-
D.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
E.
statisticalType
Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda5011bc8190ae4e41da391e759c |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.