Triple
T7002013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesuit Church Lucerne |
E162357
|
entity |
| Predicate | towerRoofType |
P67850
|
FINISHED |
| Object | onion domes |
—
|
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: onion domes | Statement: [Jesuit Church Lucerne, towerRoofType, onion domes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerRoofType Context triple: [Jesuit Church Lucerne, towerRoofType, onion domes]
-
A.
hasRoofShape
Indicates that one entity possesses or is characterized by a specific shape or form of roof.
-
B.
towerType
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
-
C.
hasIconicRoofShape
chosen
Indicates that an entity possesses a roof with a distinctive, widely recognized, or characteristic shape.
-
D.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
E.
roofOptions
Indicates the available types or configurations of roofs that can be selected or applied to an entity.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc1115c48190a9363473ae21b6c1 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.