Triple
T26348776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı İmparatorluğu'nda Alman Nüfuzu |
E662844
|
entity |
| Predicate | konu |
P145726
|
FINISHED |
| Object | askerî ilişkiler |
—
|
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: askerî ilişkiler | Statement: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, konu, askerî ilişkiler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: konu Context triple: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, konu, askerî ilişkiler]
-
A.
odakKonu
Indicates a focus-on relationship where one entity is the main subject or topic that another entity concentrates on or addresses.
-
B.
dotyczy
chosen
Indicates that something concerns, relates to, or is about a given entity or subject.
-
C.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
D.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
E.
kurumOdağı
Indicates a focus on or orientation toward an institution, organization, or corporate entity in the context of the described relationship or action.
- 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_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 10:43 p.m.