Triple

T2099257
Position Surface form Disambiguated ID Type / Status
Subject Holy Mountain E37054 entity
Predicate capital P234 FINISHED
Object Karyes E36862 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: Karyes | Statement: [Holy Mountain, capital, Karyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karyes
Context triple: [Holy Mountain, capital, Karyes]
  • A. Karyes chosen
    Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
  • B. Karystos
    Karystos is a coastal town on the southern tip of the Greek island of Euboea, known for its natural harbor, marble quarries, and archaeological remains.
  • C. Perachori
    Perachori is a traditional mountain village on the Greek island of Ithaca, known for its scenic views, stone houses, and proximity to hiking trails and historical sites.
  • D. Kalambaka
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • E. Ialysos
    Ialysos is a town and seaside resort on the northwest coast of the Greek island of Rhodes, known for its beaches and archaeological remains from ancient Ialysos.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbab9f5b88190b8a18056dc592dde completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518d29d4819090aa2a1c6fc7304d completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.