Triple
T26348792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı İmparatorluğu'nda Alman Nüfuzu |
E662844
|
entity |
| Predicate | odakKonu |
P160440
|
FINISHED |
| Object | Osmanlı modernleşmesinde Alman etkisi |
—
|
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 modernleşmesinde Alman etkisi | Statement: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, odakKonu, Osmanlı modernleşmesinde Alman etkisi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odakKonu Context triple: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, odakKonu, Osmanlı modernleşmesinde Alman etkisi]
-
A.
odakKonu
chosen
Indicates a focus-on relationship where one entity is the main subject or topic that another entity concentrates on or addresses.
-
B.
odak
Indicates a focus on or attention directed toward something or someone.
-
C.
odakDönem
Indicates a temporal relationship specifying the period or term during which something is valid, active, or in effect.
-
D.
kurumOdağı
Indicates a focus on or orientation toward an institution, organization, or corporate entity in the context of the described relationship or action.
-
E.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
- 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_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_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 10:43 p.m.