Triple

T3985076
Position Surface form Disambiguated ID Type / Status
Subject Orhan Veli Kanık E86850 entity
Predicate notableWork P4 FINISHED
Object Garip
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.
 E404905 NE FINISHED

How this triple was built (4 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. Garipçe
    Garipçe is a small coastal village on the European side of Istanbul, Turkey, situated at the entrance of the Bosphorus Strait.
  • 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. Sinekli Bakkal
    Sinekli Bakkal is a renowned early 20th-century Turkish novel that explores social change, tradition, and modernization in late Ottoman Istanbul through the intertwined lives of its residents.
  • D. Kagizman
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • E. Bugulma
    Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Garip
Triple: [Orhan Veli Kanık, notableWork, Garip]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garip
Target entity description: 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.
  • A. Garipçe
    Garipçe is a small coastal village on the European side of Istanbul, Turkey, situated at the entrance of the Bosphorus Strait.
  • 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. Sinekli Bakkal
    Sinekli Bakkal is a renowned early 20th-century Turkish novel that explores social change, tradition, and modernization in late Ottoman Istanbul through the intertwined lives of its residents.
  • D. Kagizman
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • E. Bugulma
    Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • F. None of above. chosen

Provenance (5 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dfaf28819081b547836d79b889 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402bbe208190947321353c309c98 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54126234c8190990cf6df84a83e92 completed March 14, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69b5458d736481908ca826fa4fd01b8c completed March 14, 2026, 11:25 a.m.
Created at: March 9, 2026, 3:33 p.m.