Triple
T12047381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary the Virgin, St Peter and St Cedd |
E286820
|
entity |
| Predicate | linkedBuildingType |
P1844
|
FINISHED |
| Object | cathedral |
—
|
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: cathedral | Statement: [St Mary the Virgin, St Peter and St Cedd, linkedBuildingType, cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedBuildingType Context triple: [St Mary the Virgin, St Peter and St Cedd, linkedBuildingType, cathedral]
-
A.
belongsToBuildingType
Indicates that something is classified as being of a particular building type.
-
B.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
-
D.
intendedBuildingType
Indicates the type of building that something is planned or designed to be.
-
E.
belongsToBuildingComplex
Indicates that one building or structure is part of, or included within, a larger building complex.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.