Triple
T26849549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bizans Müesseselerinin Osmanlı Müesseselerine Tesiri |
E676020
|
entity |
| Predicate | bağlantılıEser |
P66104
|
FINISHED |
| Object | Osmanlı İmparatorluğunun Kuruluşu |
—
|
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: Osmanlı İmparatorluğunun Kuruluşu | Statement: [Bizans Müesseselerinin Osmanlı Müesseselerine Tesiri, bağlantılıEser, Osmanlı İmparatorluğunun Kuruluşu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bağlantılıEser Context triple: [Bizans Müesseselerinin Osmanlı Müesseselerine Tesiri, bağlantılıEser, Osmanlı İmparatorluğunun Kuruluşu]
-
A.
relatedToAuthorWork
Indicates that there is a connection or association between an author and a work they have created, contributed to, or are otherwise linked with.
-
B.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
C.
مرتبطب
Indicates a relationship of being connected, associated, or related to something or someone.
-
D.
ligadoA
chosen
Indicates that one entity is connected, linked, or otherwise associated with another entity.
-
E.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
- 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 5:15 a.m.