Triple

T8597819
Position Surface form Disambiguated ID Type / Status
Subject Beykoz E203594 entity
Predicate contains P35 FINISHED
Object Riva
Riva is a coastal neighborhood and popular recreational area on the Asian side of Istanbul, known for its beaches, river, and natural scenery.
 E744714 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: Riva | Statement: [Beykoz, contains, Riva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riva
Context triple: [Beykoz, contains, Riva]
  • A. The San Remo
    The San Remo is a landmark twin-towered luxury apartment building in Manhattan, renowned for its distinctive Art Deco–influenced design and prominent celebrity residents.
  • B. Riviera
    Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
  • C. Barcola
    Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
  • D. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • E. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • 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: Riva
Triple: [Beykoz, contains, Riva]
Generated description
Riva is a coastal neighborhood and popular recreational area on the Asian side of Istanbul, known for its beaches, river, and natural scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riva
Target entity description: Riva is a coastal neighborhood and popular recreational area on the Asian side of Istanbul, known for its beaches, river, and natural scenery.
  • A. The San Remo
    The San Remo is a landmark twin-towered luxury apartment building in Manhattan, renowned for its distinctive Art Deco–influenced design and prominent celebrity residents.
  • B. Riviera
    Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
  • C. Barcola
    Barcola is a coastal district of Trieste, Italy, known for its seafront promenade, beaches, and views of the Gulf of Trieste.
  • D. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • E. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • 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.