Triple
T1961042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MuZero |
E42386
|
entity |
| Predicate | architectureComponent |
P4621
|
FINISHED |
| Object | representation function |
—
|
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: representation function | Statement: [MuZero, architectureComponent, representation function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectureComponent Context triple: [MuZero, architectureComponent, representation function]
-
A.
architecture
chosen
Indicates the structural design or organizational framework that defines how components of a system or entity are arranged and interact.
-
B.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
C.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
-
D.
buildingSection
Indicates a relationship where one entity is a specific section, part, or subdivision of a larger building.
-
E.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.