Triple
T25471239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Efter orgiet |
E638308
|
entity |
| Predicate | placeOfAuthorOrigin |
P90944
|
FINISHED |
| Object | Copenhagen |
—
|
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: Copenhagen | Statement: [Efter orgiet, placeOfAuthorOrigin, Copenhagen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfAuthorOrigin Context triple: [Efter orgiet, placeOfAuthorOrigin, Copenhagen]
-
A.
literaryOriginCountry
Indicates the country from which a literary work or literary tradition originally comes.
-
B.
countryOfManuscript
Indicates the country with which a manuscript is associated, typically where it was created, found, or is held.
-
C.
countryOfNotableWork
Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
-
D.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
E.
creatorPlaceOfBirth
chosen
Indicates that the place specified is the location where the creator of an entity was born.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 2:23 p.m.