Triple
T26547133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı Devleti’nin Saray Teşkilâtı |
E671565
|
entity |
| Predicate | bağlıOlduğuYazarınUzmanlığı |
P102843
|
FINISHED |
| Object | Osmanlı siyasi tarihi |
—
|
LITERAL FINISHED |
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 siyasi tarihi | Statement: [Osmanlı Devleti’nin Saray Teşkilâtı, bağlıOlduğuYazarınUzmanlığı, Osmanlı siyasi tarihi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bağlıOlduğuYazarınUzmanlığı Context triple: [Osmanlı Devleti’nin Saray Teşkilâtı, bağlıOlduğuYazarınUzmanlığı, Osmanlı siyasi tarihi]
-
A.
academicFieldOfAuthor
chosen
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
-
B.
publisherOfWorkAboutSubject
Indicates that an entity is the publisher of a work whose content is about a specified subject.
-
C.
authorIsKnownFor
Indicates that a particular author is widely recognized or notable for a specific work, genre, contribution, or characteristic.
-
D.
subjectOfWorkBy
Indicates that one entity is the main topic or focus of a work (such as a book, article, or artwork) created by another entity.
-
E.
authorBelongsTo
Indicates that an author is affiliated with, or is a member of, a particular organization, group, or 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:45 a.m.