Triple

T17047854
Position Surface form Disambiguated ID Type / Status
Subject Çeşme E413615 entity
Predicate hasAttraction P105 FINISHED
Object Çeşme Marina
Çeşme Marina is a modern waterfront complex in the Turkish resort town of Çeşme, featuring yacht berths, restaurants, shops, and leisure facilities for visitors and boaters.
E413615 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: Çeşme Marina | Statement: [Çeşme, hasAttraction, Çeşme Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çeşme Marina
Context triple: [Çeşme, hasAttraction, Çeşme Marina]
  • A. Çeşme
    Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
  • B. Didim Marina
    Didim Marina is a modern yacht marina on Turkey’s Aegean coast, serving as a major hub for sailing, boat tourism, and marine services in the Didim region.
  • C. Port of Tivat
    Port of Tivat is a coastal harbor and marina town in Montenegro, known for its yachting facilities and location along the Adriatic Sea.
  • D. Agana Marina
    Agana Marina is a small harbor and recreational boating facility located along the waterfront of Hagåtña, the capital of Guam.
  • E. Kuruçeşme
    Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
  • 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: Çeşme Marina
Triple: [Çeşme, hasAttraction, Çeşme Marina]
Generated description
Çeşme Marina is a modern waterfront complex in the Turkish resort town of Çeşme, featuring yacht berths, restaurants, shops, and leisure facilities for visitors and boaters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Çeşme Marina
Target entity description: Çeşme Marina is a modern waterfront complex in the Turkish resort town of Çeşme, featuring yacht berths, restaurants, shops, and leisure facilities for visitors and boaters.
  • A. Çeşme chosen
    Çeşme is a popular Aegean coastal resort town in western Turkey, known for its beaches, thermal springs, and vibrant holiday atmosphere.
  • B. Didim Marina
    Didim Marina is a modern yacht marina on Turkey’s Aegean coast, serving as a major hub for sailing, boat tourism, and marine services in the Didim region.
  • C. Port of Tivat
    Port of Tivat is a coastal harbor and marina town in Montenegro, known for its yachting facilities and location along the Adriatic Sea.
  • D. Agana Marina
    Agana Marina is a small harbor and recreational boating facility located along the waterfront of Hagåtña, the capital of Guam.
  • E. Kuruçeşme
    Kuruçeşme is a Bosphorus-side neighborhood in Istanbul known for its waterfront parks, nightlife venues, and views of the strait.
  • F. None of above.

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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9f799c8190a683ae38cd990643 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233fb8d88190a9a6ef6a2f19a499 completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a012533f9a8819096ab9b821c848dd2 completed May 11, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0125dead2481908a5c26bda5a7cd1f completed May 11, 2026, 12:42 a.m.
Created at: April 10, 2026, 5:34 a.m.