Triple
T29820177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurban Said |
E757222
|
entity |
| Predicate | workOriginalPublicationPlace |
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: [Kurban Said, workOriginalPublicationPlace, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOriginalPublicationPlace Context triple: [Kurban Said, workOriginalPublicationPlace, Vienna]
-
A.
placeOfFirstPublication
chosen
Indicates the location where a work was first published or made publicly available.
-
B.
hasPublicationPlace
Indicates the place or location where a publication was produced, issued, or made publicly available.
-
C.
originalPublicationOfWholeWork
Indicates that one entity is the original publication in which an entire work was first made publicly available.
-
D.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
E.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6756645d48190a1645d578759dccd |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 5:28 p.m.