Triple
T31516759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwoods lodge |
E804091
|
entity |
| Predicate | decorMotif |
P63166
|
FINISHED |
| Object | forest imagery |
—
|
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: forest imagery | Statement: [Northwoods lodge, decorMotif, forest imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorMotif Context triple: [Northwoods lodge, decorMotif, forest imagery]
-
A.
décorateur
Indicates that one entity serves as a decorator for another, typically enhancing or modifying its appearance, style, or presentation.
-
B.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
C.
decorativeCategory
chosen
Indicates that one entity is classified as belonging to a particular decorative style, theme, or ornamentation category of another entity.
-
D.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
E.
decorationDesigner
Indicates that one entity is the person or agent responsible for designing the decoration of 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a25863648190867b5ad86681fee2 |
completed | May 3, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:53 p.m.