Triple

T17642948
Position Surface form Disambiguated ID Type / Status
Subject Turquoise Coast E429282 entity
Predicate hasAncientSite P1098 FINISHED
Object Olympos 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: Olympos | Statement: [Turquoise Coast, hasAncientSite, Olympos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympos
Context triple: [Turquoise Coast, hasAncientSite, Olympos]
  • A. Olympos chosen
    Olympos was an ancient coastal city in Lycia, known for its strategic harbor, Hellenistic and Roman ruins, and later association with pirates and early Christian history.
  • B. Olympos
    Olympos is a traditional, picturesque mountain village on the Greek island of Karpathos, known for its preserved customs, distinctive architecture, and panoramic Aegean views.
  • C. Olympos
    Olympos is the highest mountain in Greece, famed in Greek mythology as the home of the Olympian gods.
  • D. Olympos
    Olympos is a science fiction novel by Dan Simmons that blends Greek mythology, literary allusion, and far-future technology in a complex, genre-crossing narrative.
  • E. Olimpo
    Olimpo is an Argentine football club best known for competing in the country’s professional league system, including multiple seasons in the Primera División.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.