Triple
T26849528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı Devleti’nin Kuruluşu |
E676019
|
entity |
| Predicate | yazarTamAdı |
P15941
|
FINISHED |
| Object | Mehmet Fuat Köprülü |
—
|
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: Mehmet Fuat Köprülü | Statement: [Osmanlı Devleti’nin Kuruluşu, yazarTamAdı, Mehmet Fuat Köprülü]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yazarTamAdı Context triple: [Osmanlı Devleti’nin Kuruluşu, yazarTamAdı, Mehmet Fuat Köprülü]
-
A.
authorName
chosen
Indicates the name associated with the person or entity that authored a given work or resource.
-
B.
authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
-
C.
yazarGörevi
Indicates a relationship where an entity serves in the role or capacity of an author for another entity (such as a work, document, or content).
-
D.
publishedAuthor
Indicates that a person is the author of one or more works that have been formally published.
-
E.
pseudonymOfWriter
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
- 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_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 5:15 a.m.