Triple
T26348786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı İmparatorluğu'nda Alman Nüfuzu |
E662844
|
entity |
| Predicate | tür |
P160439
|
FINISHED |
| Object | askerî tarih incelemesi |
—
|
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 tarih incelemesi | Statement: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, tür, askerî tarih incelemesi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tür Context triple: [Osmanlı İmparatorluğu'nda Alman Nüfuzu, tür, askerî tarih incelemesi]
-
A.
tür
chosen
Indicates that one entity is a type, kind, or category of another entity.
-
B.
rok
Indicates a generic, unspecified relationship or interaction between entities labeled by this predicate.
-
C.
taluk
Indicates an administrative relationship where an area or settlement belongs to, is governed by, or falls within the jurisdiction of a specific taluk (sub-district).
-
D.
trap
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
E.
ties
Indicates that one entity fastens, secures, or binds another entity (or two entities together), typically using a flexible connector such as a string, rope, or similar medium.
- 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.