Triple
T12696973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokuon-ji |
E303358
|
entity |
| Predicate | hasConstructionMaterialOnExterior |
P19176
|
FINISHED |
| Object | gold leaf |
—
|
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: gold leaf | Statement: [Rokuon-ji, hasConstructionMaterialOnExterior, gold leaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstructionMaterialOnExterior Context triple: [Rokuon-ji, hasConstructionMaterialOnExterior, gold leaf]
-
A.
exteriorMaterial
chosen
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
B.
hasExteriorType
Indicates that an entity possesses a specific kind or style of exterior.
-
C.
hasSidewalkMaterial
Indicates that a sidewalk is composed of, or constructed using, a specified material.
-
D.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
-
E.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:22 p.m.