Triple

T8597824
Position Surface form Disambiguated ID Type / Status
Subject Beykoz E203594 entity
Predicate contains P35 FINISHED
Object Ortaçeşme
Ortaçeşme is a neighborhood in Istanbul’s Beykoz district, known for its residential character and proximity to the Bosphorus on the city’s Asian side.
 E744716 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: Ortaçeşme | Statement: [Beykoz, contains, Ortaçeşme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ortaçeşme
Context triple: [Beykoz, contains, Ortaçeşme]
  • A. Söğütlüçeşme
    Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
  • B. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • C. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • D. Körfez
    Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara region.
  • E. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • 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: Ortaçeşme
Triple: [Beykoz, contains, Ortaçeşme]
Generated description
Ortaçeşme is a neighborhood in Istanbul’s Beykoz district, known for its residential character and proximity to the Bosphorus on the city’s Asian side.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ortaçeşme
Target entity description: Ortaçeşme is a neighborhood in Istanbul’s Beykoz district, known for its residential character and proximity to the Bosphorus on the city’s Asian side.
  • A. Söğütlüçeşme
    Söğütlüçeşme is a neighborhood and major transport hub on Istanbul’s Asian side, known especially for its Marmaray and metrobus connections.
  • B. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • C. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • D. Körfez
    Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara region.
  • E. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • 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.