Triple

T10153055
Position Surface form Disambiguated ID Type / Status
Subject Ortaköy E232697 entity
Predicate near P350 FINISHED
Object Kuruçeşme
Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
 E843518 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: Kuruçeşme | Statement: [Ortaköy, near, Kuruçeşme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuruçeşme
Context triple: [Ortaköy, near, Kuruçeşme]
  • A. Çeşme
    Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
  • B. Kekova
    Kekova is a small Turkish Mediterranean island and surrounding region famed for its submerged ancient ruins and scenic coastal landscape.
  • C. Körfez
    Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara region.
  • D. Datça
    Datça is a picturesque coastal town and popular holiday destination on Turkey’s Datça Peninsula, known for its unspoiled beaches, clear waters, and relaxed atmosphere.
  • E. Kemalpaşa
    Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
  • 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: Kuruçeşme
Triple: [Ortaköy, near, Kuruçeşme]
Generated description
Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuruçeşme
Target entity description: Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
  • A. Çeşme
    Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
  • B. Kekova
    Kekova is a small Turkish Mediterranean island and surrounding region famed for its submerged ancient ruins and scenic coastal landscape.
  • C. Körfez
    Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara region.
  • D. Datça
    Datça is a picturesque coastal town and popular holiday destination on Turkey’s Datça Peninsula, known for its unspoiled beaches, clear waters, and relaxed atmosphere.
  • E. Kemalpaşa
    Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e7408e58819083c43e334a87a09f completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7b854d08190ac2af642970b7f09 completed April 5, 2026, 10:52 p.m.
Created at: March 30, 2026, 9:08 p.m.