Triple
T3728752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow (novel) |
E79010
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | İletişim Yayınları |
E383811
|
NE 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: İletişim Yayınları | Statement: [Snow (novel), publisher, İletişim Yayınları]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İletişim Yayınları Context triple: [Snow (novel), publisher, İletişim Yayınları]
-
A.
İletişim Yayınları
chosen
İletişim Yayınları is a prominent Turkish publishing house known for releasing influential works of literature, social sciences, and critical thought.
-
B.
Priboi Publishers
Priboi Publishers was a Soviet-era publishing house known for issuing political and ideological works, including key texts by Vladimir Lenin.
-
C.
Türk Dil Kurumu
Türk Dil Kurumu is Turkey’s official language institution responsible for researching, standardizing, and developing the Turkish language.
-
D.
Rüya Pamuk
Rüya Pamuk is the daughter of Nobel Prize–winning Turkish novelist Orhan Pamuk.
-
E.
Weltkreis Verlag
Weltkreis Verlag is a German publishing house known for issuing philosophical and academic works, including classic texts in analytic philosophy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb17432881909390284b935ed3fd |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4f4e8008190ae7f55ecb290d592 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:34 p.m.