Triple
T36912174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geh aus, mein Herz, und suche Freud |
E912937
|
entity |
| Predicate | textPublicationCity |
P115435
|
FINISHED |
| Object | Berlin |
—
|
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: Berlin | Statement: [Geh aus, mein Herz, und suche Freud, textPublicationCity, Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textPublicationCity Context triple: [Geh aus, mein Herz, und suche Freud, textPublicationCity, Berlin]
-
A.
authorMainCity
Indicates the primary city with which an author is chiefly associated, such as their main place of residence or work.
-
B.
hasPublicationPlace
chosen
Indicates the place or location where a publication was produced, issued, or made publicly available.
-
C.
projectCity
Indicates that a project is located in, associated with, or primarily takes place within a specific city.
-
D.
printedInCity
Indicates that something (such as a document, book, or item) was printed in a particular city.
-
E.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdb0e0b881908890f7e8aae30f5d |
completed | May 5, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.