Triple
T16487023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Assumption and St Gregory, Warwick Street (remodelling) |
E400471
|
entity |
| Predicate | typeOfBuildingComponent |
P70315
|
FINISHED |
| Object | church interior |
—
|
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: church interior | Statement: [Our Lady of Assumption and St Gregory, Warwick Street (remodelling), typeOfBuildingComponent, church interior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBuildingComponent Context triple: [Our Lady of Assumption and St Gregory, Warwick Street (remodelling), typeOfBuildingComponent, church interior]
-
A.
hasBuildingComponent
Indicates that one entity includes, contains, or is composed of another entity as a physical building component.
-
B.
belongsToBuildingType
Indicates that something is classified as being of a particular building type.
-
C.
componentType
Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
typeOfBuildingSpace
chosen
Indicates the specific kind or category of building space that an entity represents or occupies.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e078d0c8190a5698a5eb9df22d4 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.