Triple
T20932510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten |
E515503
|
entity |
| Predicate | hasMinimalistStyle |
P141736
|
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: [Ten, hasMinimalistStyle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimalistStyle Context triple: [Ten, hasMinimalistStyle, true]
-
A.
hasMinimalistProduction
Indicates that something is produced or arranged using a sparse, simple, and stripped-down style with minimal elements or embellishment.
-
B.
hasMiniature
Indicates that one entity possesses or includes a smaller-scale representation or model of another entity.
-
C.
hasChapelStyle
Indicates that a chapel possesses or is characterized by a particular architectural or stylistic design.
-
D.
hasMinimalInterface
Indicates that one entity provides only the smallest necessary set of methods, features, or interaction points required for another entity to use or interact with it.
-
E.
architecturalStyle
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94e980c819083280a9c35af5930 |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:49 p.m.