Triple
T37488631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gößweinstein |
E931605
|
entity |
| Predicate | hasArchitectForBasilica |
P189046
|
FINISHED |
| Object | Balthasar Neumann |
—
|
NE NERFINISHED |
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: Balthasar Neumann | Statement: [Gößweinstein, hasArchitectForBasilica, Balthasar Neumann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchitectForBasilica Context triple: [Gößweinstein, hasArchitectForBasilica, Balthasar Neumann]
-
A.
basilicaArchitect
chosen
Indicates that one entity is the architect responsible for designing the basilica associated with the other entity.
-
B.
hasChapelArchitect
Indicates that an entity has another entity serving as the architect responsible for designing its chapel.
-
C.
hasBasilica
Indicates that one entity possesses, contains, or is associated with a basilica as a significant feature or component.
-
D.
originalChurchArchitect
Indicates that one entity is the architect who originally designed the church represented by the other entity.
-
E.
hasLandmarkArchitect
Indicates that a landmark is associated with, or was designed by, a specific architect.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: May 3, 2026, 4:17 p.m.