Triple
T34863456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg school of composers |
E1004944
|
entity |
| Predicate | primaryPatronageContext |
P133420
|
FINISHED |
| Object | Lutheran church |
—
|
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: Lutheran church | Statement: [Hamburg school of composers, primaryPatronageContext, Lutheran church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPatronageContext Context triple: [Hamburg school of composers, primaryPatronageContext, Lutheran church]
-
A.
primaryPatron
Indicates that one entity serves as the main or chief supporter, sponsor, or benefactor of another entity.
-
B.
patronageFocus
Indicates the primary area, subject, or domain that is the focus of an entity’s support, sponsorship, or patronage.
-
C.
patronage
Indicates a relationship where one party supports, sponsors, or protects another, often in exchange for loyalty, services, or influence.
-
D.
cityPatronageContext
Indicates the contextual relationship in which a city provides support, sponsorship, or patronage to an entity, activity, or institution.
-
E.
hasPatronageContext
chosen
Indicates that one entity is involved with or characterized by a particular patronage relationship, setting, or circumstances.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.