Triple

T12161830
Position Surface form Disambiguated ID Type / Status
Subject Palaio Faliro E289725 entity
Predicate hasLandmark P105 FINISHED
Object Flisvos Marina E951180 NE FINISHED

How this triple was built (2 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: Flisvos Marina | Statement: [Palaio Faliro, hasLandmark, Flisvos Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flisvos Marina
Context triple: [Palaio Faliro, hasLandmark, Flisvos Marina]
  • A. Flisvos Marina chosen
    Flisvos Marina is a modern, upscale yacht marina and leisure destination on the Athens Riviera, known for its luxury facilities, waterfront promenade, and vibrant dining and shopping options.
  • B. 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.
  • C. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • D. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • E. Marina
    Marina is a 2012 Tamil coming-of-age drama film that helped establish Sivakarthikeyan as a leading actor in the Tamil film industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a837a5881908c600be0be334269 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.