Triple
T26349233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanlı'da Millet Sistemi |
E662857
|
entity |
| Predicate | odak |
P160443
|
FINISHED |
| Object | gayrimüslim cemaatlerin hukuki statüsü |
—
|
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: gayrimüslim cemaatlerin hukuki statüsü | Statement: [Osmanlı'da Millet Sistemi, odak, gayrimüslim cemaatlerin hukuki statüsü]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odak Context triple: [Osmanlı'da Millet Sistemi, odak, gayrimüslim cemaatlerin hukuki statüsü]
-
A.
poseFocus
Indicates that attention or emphasis is directed toward a particular pose or body position within a scene or interaction.
-
B.
originallyShotOn
Indicates that a visual work was first recorded or captured using a particular original medium, format, or equipment.
-
C.
originalLens
Indicates that one lens is the initial or source lens from which another lens or lens configuration is derived or referenced.
-
D.
cameraBranding
Indicates that one entity serves as the brand or branding designation associated with a camera or camera product.
-
E.
aka
Indicates that one entity is also known by an alternative name or alias that refers to the same thing.
- 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_69f60fa9dc9c8190b2501a3bc23eabfe |
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, 10:44 p.m.