Triple
T17089001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orhan Veli Kanık |
E414674
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Garip |
E404905
|
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: Garip | Statement: [Orhan Veli Kanık, notableWork, Garip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garip Context triple: [Orhan Veli Kanık, notableWork, Garip]
-
A.
Garip
chosen
Garip is a groundbreaking 1941 Turkish poetry collection that launched the Garip movement, challenging traditional forms with its colloquial language and focus on everyday life.
-
B.
Garipçe
Garipçe is a small coastal village on the European side of Istanbul, Turkey, situated at the entrance of the Bosphorus Strait.
-
C.
İncesu
İncesu is a town and district in central Turkey known for its historical caravanserai and location within Kayseri Province in Central Anatolia.
-
D.
Gülüstü Kadın
Gülüstü Kadın was a consort of Ottoman Sultan Abdulmejid I and the mother of the empire’s last sultan, Mehmed VI.
-
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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe9dc808190ab20537100e7ddee |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.