Triple
T19414426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erhard Küng |
E485670
|
entity |
| Predicate | religiousBuildingTypeWorkedOn |
P92816
|
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: [Erhard Küng, religiousBuildingTypeWorkedOn, cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousBuildingTypeWorkedOn Context triple: [Erhard Küng, religiousBuildingTypeWorkedOn, cathedral]
-
A.
religiousBuildingDesigned
Indicates that one entity (typically an architect or designer) is responsible for designing a religious building associated with the other entity.
-
B.
religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
-
C.
associatedReligionBuilding
Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
-
D.
religiousBuildingInstanceOf
chosen
Indicates that a specific religious building is an instance of a particular class or type of religious building.
-
E.
inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af834fc81908cb176076de10c1c |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.