Triple
T29636267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contrastive Predictive Coding |
E755722
|
entity |
| Predicate | architectureAgnostic |
P179933
|
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: [Contrastive Predictive Coding, architectureAgnostic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectureAgnostic Context triple: [Contrastive Predictive Coding, architectureAgnostic, true]
-
A.
architecture
Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
-
B.
architectureName
Indicates the specific name or title assigned to an architecture.
-
C.
toArchitecture
Indicates a relationship in which something is designed, structured, or organized according to a particular architectural style, plan, or system.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
architectureDomain
Indicates that something belongs to, operates within, or is specifically concerned with a particular field or domain of architecture.
- F. None of above. chosen
Provenance (4 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 28, 2026, 6:44 p.m.