Triple
T26547096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı Devleti Teşkilâtına Medhal |
E671564
|
entity |
| Predicate | odak |
P160440
|
FINISHED |
| Object | devlet kurumlarının işleyişi |
—
|
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: devlet kurumlarının işleyişi | Statement: [Osmanlı Devleti Teşkilâtına Medhal, odak, devlet kurumlarının işleyişi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odak Context triple: [Osmanlı Devleti Teşkilâtına Medhal, odak, devlet kurumlarının işleyişi]
-
A.
odak
Indicates a focus on or attention directed toward something or someone.
-
B.
odakDönem
Indicates a temporal relationship specifying the period or term during which something is valid, active, or in effect.
-
C.
odakKonu
chosen
Indicates a focus-on relationship where one entity is the main subject or topic that another entity concentrates on or addresses.
-
D.
poseFocus
Indicates that attention or emphasis is directed toward a particular pose or body position within a scene or interaction.
-
E.
originallyShotOn
Indicates that a visual work was first recorded or captured using a particular original medium, format, or equipment.
- 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_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:45 a.m.