Triple
T26348790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı İmparatorluğu'nda Alman Nüfuzu |
E662844
|
entity |
| Predicate | odakKonu |
P160440
|
FINISHED |
| Object | Osmanlı-Alman ittifakı |
—
|
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-Alman ittifakı | Statement: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, odakKonu, Osmanlı-Alman ittifakı]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odakKonu Context triple: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, odakKonu, Osmanlı-Alman ittifakı]
-
A.
kurumOdağı
Indicates a focus on or orientation toward an institution, organization, or corporate entity in the context of the described relationship or action.
-
B.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
C.
filmContent
Indicates that one entity is the substantive material or subject matter contained within a film.
-
D.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
E.
filmGoal
Indicates that a film is created with the purpose, objective, or intended outcome of achieving a particular goal.
- F. None of above. chosen
Provenance (4 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa904a08190938352e5413c1e77 |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f6018ceb1c8190a6a5f84071659a96 |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 26, 2026, 10:43 p.m.