Triple

T8597822
Position Surface form Disambiguated ID Type / Status
Subject Beykoz E203594 entity
Predicate contains P35 FINISHED
Object Kavacık
Kavacık is a neighborhood in Istanbul’s Beykoz district, known as a key residential and commercial area on the Asian side near the Fatih Sultan Mehmet Bridge.
 E744715 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: Kavacık | Statement: [Beykoz, contains, Kavacık]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kavacık
Context triple: [Beykoz, contains, Kavacık]
  • A. Sığacık
    Sığacık is a coastal neighborhood and marina town in western Turkey known for its historic Seferihisar Castle, nearby ancient city of Teos, and relaxed Aegean atmosphere.
  • B. Malkara
    Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
  • C. Ağca
    Ağca is the surname of Mehmet Ali Ağca, the Turkish gunman known for his 1981 assassination attempt on Pope John Paul II.
  • D. Çayırova
    Çayırova is a district and rapidly growing industrial-urban area located in Kocaeli Province in northwestern Turkey.
  • E. Muratlı
    Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
  • 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: Kavacık
Triple: [Beykoz, contains, Kavacık]
Generated description
Kavacık is a neighborhood in Istanbul’s Beykoz district, known as a key residential and commercial area on the Asian side near the Fatih Sultan Mehmet Bridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kavacık
Target entity description: Kavacık is a neighborhood in Istanbul’s Beykoz district, known as a key residential and commercial area on the Asian side near the Fatih Sultan Mehmet Bridge.
  • A. Sığacık
    Sığacık is a coastal neighborhood and marina town in western Turkey known for its historic Seferihisar Castle, nearby ancient city of Teos, and relaxed Aegean atmosphere.
  • B. Malkara
    Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
  • C. Ağca
    Ağca is the surname of Mehmet Ali Ağca, the Turkish gunman known for his 1981 assassination attempt on Pope John Paul II.
  • D. Çayırova
    Çayırova is a district and rapidly growing industrial-urban area located in Kocaeli Province in northwestern Turkey.
  • E. Muratlı
    Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
  • 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.