Triple
T35955193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İkbal Kütüphanesi |
E1039836
|
entity |
| Predicate | workPublishedLanguage |
P73818
|
FINISHED |
| Object | Turkish |
—
|
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: Turkish | Statement: [İkbal Kütüphanesi, workPublishedLanguage, Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPublishedLanguage Context triple: [İkbal Kütüphanesi, workPublishedLanguage, Turkish]
-
A.
workPublishedBy
Indicates that a work (such as a book, article, or other creation) has been issued or made publicly available by a particular publisher or publishing entity.
-
B.
workPublishedAuthor
Indicates that a particular work was created and published by a specific author.
-
C.
publicationLanguageOfSourceWork
chosen
Indicates the language in which the original source work was published.
-
D.
workPublishedUnderName
Indicates that a work was released or made public using a specific name (such as a real name, pseudonym, or organizational name) as the credited author or source.
-
E.
languageWrittenAbout
Indicates that something is written about or concerning a particular language.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.