Triple
T26546977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 21. Yüzyılda Türkiye |
E671561
|
entity |
| Predicate | yazarGörevi |
P166155
|
FINISHED |
| Object | eski dışişleri bakanı |
—
|
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: eski dışişleri bakanı | Statement: [21. Yüzyılda Türkiye, yazarGörevi, eski dışişleri bakanı]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yazarGörevi Context triple: [21. Yüzyılda Türkiye, yazarGörevi, eski dışişleri bakanı]
-
A.
employedWriter
Indicates that a writer is formally employed by a person, organization, or entity to perform writing-related work.
-
B.
مؤلف_العمل
Indicates that an entity is the creator or author responsible for producing a particular work.
-
C.
workWrittenFor
Indicates that a creative work was specifically composed, produced, or created for a particular person, group, event, purpose, or medium.
-
D.
genreOfWorkHeWrites
Indicates that a person is an author who writes works belonging to a particular genre.
-
E.
wrote
Indicates that an entity is the author or creator of a written work involving another entity.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 1:45 a.m.