Triple
T33733663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maizuru World Brick Museum |
E864344
|
entity |
| Predicate | hasBuildingMaterialTheme |
P112113
|
FINISHED |
| Object | brick |
—
|
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: brick | Statement: [Maizuru World Brick Museum, hasBuildingMaterialTheme, brick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingMaterialTheme Context triple: [Maizuru World Brick Museum, hasBuildingMaterialTheme, brick]
-
A.
thematicMaterial
Indicates that one entity serves as the primary recurring idea, motif, or thematic content that is developed or referenced by another entity.
-
B.
hasArchitecturalTheme
Indicates that one entity features or embodies a particular architectural style, motif, or design concept associated with another entity.
-
C.
hasArchitecturalMaterial
chosen
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
D.
hasStationBuildingMaterial
Indicates that a station’s building is constructed from, or primarily composed of, a specified material.
-
E.
hasMuseumTheme
Indicates that something (such as a museum, exhibit, or collection) is characterized by or dedicated to a particular thematic focus.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 1, 2026, 1:44 a.m.