Triple

T13307629
Position Surface form Disambiguated ID Type / Status
Subject Ida E316976 entity
Predicate hasSiblings P363 FINISHED
Object Olympos E511785 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: [Ida, hasSiblings, Olympos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympos
Context triple: [Ida, hasSiblings, Olympos]
  • A. Olympos
    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 chosen
    Olympos is the highest mountain in Greece, famed in Greek mythology as the home of the Olympian gods.
  • D. 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.
  • E. Kithairon
    Kithairon is a mountain in Greece traditionally associated with ancient Greek mythology and regional cults.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2810a881908b1ed0cc4fb9ac12 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:29 p.m.