Triple

T4300815
Position Surface form Disambiguated ID Type / Status
Subject Mediterranean Region of Turkey E99830 entity
Predicate touristAttraction P530 FINISHED
Object Olympos E325081 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: Olympos | Statement: [Mediterranean Region of Turkey, touristAttraction, Olympos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympos
Context triple: [Mediterranean Region of Turkey, touristAttraction, 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. Kithairon
    Kithairon is a mountain in Greece traditionally associated with ancient Greek mythology and regional cults.
  • D. Lerna
    Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
  • E. Erymanthos Mountains
    The Erymanthos Mountains are a rugged mountain range in the Peloponnese of Greece, known for their high peaks, deep gorges, and rich natural landscapes.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509fb2b88190a13ab88a5b924052 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c74d59688190820cef42c4228a3a completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.