Triple

T8597818
Position Surface form Disambiguated ID Type / Status
Subject Beykoz E203594 entity
Predicate contains P35 FINISHED
Object Çubuklu
Çubuklu is a neighborhood on the Asian side of Istanbul, Turkey, situated along the Bosphorus within the district of Beykoz.
 E744713 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: Çubuklu | Statement: [Beykoz, contains, Çubuklu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Çubuklu
Context triple: [Beykoz, contains, Çubuklu]
  • A. Çubuk
    Çubuk is a district and town in central Turkey known for its proximity to Ankara and its agricultural and pickling traditions.
  • B. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • C. Söğütlüçeşme
    Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
  • D. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • E. Kumluova
    Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
  • 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: Çubuklu
Triple: [Beykoz, contains, Çubuklu]
Generated description
Çubuklu is a neighborhood on the Asian side of Istanbul, Turkey, situated along the Bosphorus within the district of Beykoz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Çubuklu
Target entity description: Çubuklu is a neighborhood on the Asian side of Istanbul, Turkey, situated along the Bosphorus within the district of Beykoz.
  • A. Çubuk
    Çubuk is a district and town in central Turkey known for its proximity to Ankara and its agricultural and pickling traditions.
  • B. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • C. Söğütlüçeşme
    Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
  • D. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • E. Kumluova
    Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8dd86d08190a7f8e674e16dd8b6 completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69cea9d0dad0819095134f6f8cafb4c0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa7025388190a3f17aca46d4858e completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:24 p.m.