Triple

T19557114
Position Surface form Disambiguated ID Type / Status
Subject Neos Panteleimonas E489343 entity
Predicate partOf P40 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: [Neos Panteleimonas, partOf, Olympus Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympus Riviera
Context triple: [Neos Panteleimonas, partOf, 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d34d1bc81908e5e10f069655866 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:42 p.m.