Triple

T19111445
Position Surface form Disambiguated ID Type / Status
Subject Plaka Litochorou E467798 entity
Predicate regionType P1828 FINISHED
Object Olympus Riviera NE NERFINISHED

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: Olympus Riviera | Statement: [Plaka Litochorou, regionType, Olympus Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympus Riviera
Context triple: [Plaka Litochorou, regionType, Olympus Riviera]
  • A. Olympus Riviera chosen
    Olympus Riviera is a coastal tourist region in northern Greece known for its beaches along the Aegean Sea and its proximity to Mount Olympus.
  • B. Olympus
    Olympus is a Japanese manufacturer best known for its optical and imaging products, including cameras, lenses, and medical endoscopes.
  • C. Olympus
    Olympus is the highest and most famous mountain in Greece, revered in Greek mythology as the home of the Olympian gods.
  • D. Olympus 104
    Olympus 104 is a specific variant of the Rolls-Royce Olympus turbojet engine, developed for improved performance in military and aviation applications.
  • E. Olympus 593
    The Olympus 593 is a turbojet engine developed jointly by Rolls-Royce and Snecma, best known for powering the supersonic Concorde airliner.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.