Triple
T13408722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaprak Dökümü |
E320027
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Yaprak Dökümü (film) |
E320027
|
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: Yaprak Dökümü (film) | Statement: [Yaprak Dökümü, hasAdaptation, Yaprak Dökümü (film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaprak Dökümü (film) Context triple: [Yaprak Dökümü, hasAdaptation, Yaprak Dökümü (film)]
-
A.
Yaprak Dökümü
chosen
Yaprak Dökümü is a classic Turkish novel by Reşat Nuri Güntekin that portrays the moral and social disintegration of a middle-class family amid rapid modernization.
-
B.
Gülüstü Kadın
Gülüstü Kadın was a consort of Ottoman Sultan Abdulmejid I and the mother of the empire’s last sultan, Mehmed VI.
-
C.
Çiçek Pasajı
Çiçek Pasajı is a historic 19th-century arcade in Istanbul known for its ornate architecture, lively restaurants, and nostalgic atmosphere.
-
D.
Yazgulyam
Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
-
E.
Yiğitler
Yiğitler is a small coastal settlement on Avşa Island in Turkey, known for its tranquil beaches and local tourism.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4d2c5481908facfaaa1501e344 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739857dd4819087e64b956a814939 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:35 p.m.