Triple
T36102957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | String Quartet in B-flat major, Op. 76 No. 4 |
E1044265
|
entity |
| Predicate | regionOfFirstPublication |
P13815
|
FINISHED |
| Object | Vienna |
—
|
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: Vienna | Statement: [String Quartet in B-flat major, Op. 76 No. 4, regionOfFirstPublication, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfFirstPublication Context triple: [String Quartet in B-flat major, Op. 76 No. 4, regionOfFirstPublication, Vienna]
-
A.
placeOfFirstPublication
chosen
Indicates the location where a work was first published or made publicly available.
-
B.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
C.
stateOfPublication
Indicates the jurisdiction or territorial state in which a work is formally published or made publicly available.
-
D.
firstPublicationLanguageRegion
Indicates the geographic region associated with the language in which an entity was first published.
-
E.
continentOfFirstEdition
Indicates the continent on which the first edition of something (typically a work or publication) was originally released or published.
- 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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a000a1d8fa88190a1d82ac746565c48 |
completed | May 10, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_6a0008b26eb88190ae03b2309a614774 |
completed | May 10, 2026, 4:25 a.m. |
Created at: May 3, 2026, 4:08 p.m.