Triple
T9865700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Tower |
E239825
|
entity |
| Predicate | decorativeElements |
P3351
|
FINISHED |
| Object | Japanese-style carvings |
—
|
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: Japanese-style carvings | Statement: [Japanese Tower, decorativeElements, Japanese-style carvings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorativeElements Context triple: [Japanese Tower, decorativeElements, Japanese-style carvings]
-
A.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
B.
decorativeCategory
Indicates that one entity is classified as belonging to a particular decorative style, theme, or ornamentation category of another entity.
-
C.
decoration
chosen
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
D.
decorationShape
Indicates the geometric or visual form that a decorative element or ornament takes in relation to the object it adorns.
-
E.
decorativeComplexity
Indicates the degree or richness of ornamental detail or embellishment present in something.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d091e48190b10463562d0dc461 |
completed | April 2, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:36 p.m.