Triple
T28424514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Connolly |
E720036
|
entity |
| Predicate | religiousArchitectureSpecialty |
P136522
|
FINISHED |
| Object | Roman Catholic churches |
—
|
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: Roman Catholic churches | Statement: [Joseph Connolly, religiousArchitectureSpecialty, Roman Catholic churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousArchitectureSpecialty Context triple: [Joseph Connolly, religiousArchitectureSpecialty, Roman Catholic churches]
-
A.
religiousBuildingSpecialty
chosen
Indicates that a religious building is specifically dedicated to or specializes in a particular religious function, practice, or tradition.
-
B.
religiousBuildingDesigned
Indicates that one entity (typically an architect or designer) is responsible for designing a religious building associated with the other entity.
-
C.
inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
-
D.
religiousSceneSpecialization
Indicates a relationship where a scene is specifically characterized or classified by a particular religious theme, context, or function.
-
E.
religiousBuildingInstanceOf
Indicates that a specific religious building is an instance of a particular class or type of religious building.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: April 28, 2026, 1:35 a.m.